Scientific Literature
Explore newest scientific publications that focus on AI and mental health. Stay updated with the latest academic publications and research findings.
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Literature
| Year | Title | Authors | Journal/Book | Volume | Pages | Abstract | DOI |
|---|---|---|---|---|---|---|---|
| 2020 | A Scoping Review of Machine Learning in Psychotherapy Research | Aafjes-van Doorn, K.; Kamsteeg, C.; Bate, J.; Aafjes, M. | Psychotherapy Research | 31 | 92–116 | Review of ML applications in psychotherapy for predicting adherence, outcomes, and process variables. | 10.1080/10503307.2020.1808729 |
| 2024 | Exploring the Ethical, Legal, and Social Implications of ChatGPT in Urology | Adhikari, K.; Naik, N.; Hameed, B.Z.; Raghunath, S.K.; Somani, B.K. | Current Urology Reports | 25 | 1-8 | Analyzes ChatGPT’s applications in urology, focusing on ethical, legal, and social implications, including privacy, bias, and human oversight. | 10.1007/s11934-023-01185-2 |
| 2023 | Understanding the Potentiality of Artificial Intelligence in Psychological Disorders Detection | Aich, K.; Kashyap, S.; Tyagi, K.; et al. | OBM Neurobiology | – | – | Highlights AI models like SVM, Decision Trees, and NLP for detecting disorders such as PTSD and depression. | 10.21926/obm.neurobiol.2304198 |
| 2024 | Reference Hallucination Score for Medical Artificial Intelligence Chatbots: Development and Usability Study | Aljamaan, F.; Temsah, M.; Altamimi, I.; Al-Eyadhy, A.; Jamal, A.; Alhasan, K.; Mesallam, T.A.; Farahat, M.; Malki, K.H. | JMIR Medical Informatics | 12 | e54345 | Proposes a scoring system to evaluate reference authenticity in AI chatbots, addressing hallucination concerns and implications for academic use. | 10.2196/54345 |
| 2024 | ChatGPT and other Chatbots in Psychiatry | Arbanas, G. | Archives of Psychiatry Research | 60 | 137-142 | Examines ChatGPT’s applications in psychiatry for diagnostics, therapeutic support, and ethical concerns. | 10.20471/june.2024.60.02.07 |
| 2023 | Non-Invasive Mental Health Prediction using Machine Learning: An Exploration of Algorithms and Accuracy | Bajaj, V.; Bathija, R.; Megnani, C.; Sawara, J.; Ansari, N. | International Conference on Intelligent Computing and Control Systems (ICICCS) | – | 313–321 | Evaluation of ML models for non-invasive mental health predictions using questionnaires and MRI data. | 10.1109/ICICCS56967.2023.10142504 |
| 2024 | Detecting Psychological Uncertainty Using Machine Learning | Balakrishna, C.; Bommisetti, R. | International Journal of Science and Research Archive | – | – | ML applications for detecting psychological issues like anxiety and depression using social media and physiological data. | 10.30574/ijsra.2024.12.2.1399 |
| 2024 | Artificial Intelligence for Psychotherapy: A Review of the Current State and Future Directions | Beg, M. J.; Verma, M.; Chanthar, V. K. M. M.; Verma, M. K. | Indian Journal of Psychological Medicine | – | – | Explores AI’s potential in enhancing psychotherapy for anxiety and depression, emphasizing ethical considerations and chatbots. | 10.1177/02537176241260819 |
| 2024 | Exploring the potential benefits and challenges of artificial intelligence for research funding organisations: a scoping review | Blatch-Jones, A.J.; Church, H.; Crane, K. | medRxiv | The scoping review explored AI’s utility, potential benefits, and risks for research funding organisations, emphasizing AI readiness and ethical considerations. | 10.1101/2024.09.26.24314280 | ||
| 2021 | Machine Learning in Clinical Psychology and Psychotherapy Education: A Mixed Methods Pilot Survey of Postgraduate Students at a Swiss University | Blease, C.; Kharko, A.; Annoni, M.; Gaab, J.; Locher, C. | Frontiers in Public Health | 9 | 623088 | Examines postgraduate students’ exposure to AI/ML in clinical psychology education, identifying attitudes, gaps, and ethical considerations for future curricula. | 10.3389/fpubh.2021.623088 |
| 2024 | How ChatGPT Works: A Mini Review | Briganti, G. | European Archives of Oto-Rhino-Laryngology | 281 | 1565-1569 | Mini-review detailing ChatGPT’s architecture, healthcare applications, and limitations. Highlights its transformative potential despite ethical and privacy concerns. | 10.1007/s00405-023-08337-7 |
| 2023 | On the use of AI-based tools like ChatGPT to support management research | Burger, B.; Kanbach, D.K.; Kraus, S.; Breier, M.; Corvello, V. | European Journal of Innovation Management | 26 | 233–241 | Editorial on the relevance of AI in management research, presenting guidelines for integrating tools like ChatGPT in systematic literature reviews. | 10.1108/EJIM-02-2023-0156 |
| 2021 | The promise of machine learning in predicting treatment outcomes in psychiatry | Chekroud, A.; Bondar, J.; Delgadillo, J.; et al. | World Psychiatry | 20 | – | Review of ML-based prediction models for psychiatric treatment outcomes, including medication and psychotherapy. | 10.1002/wps.20882 |
| 2024 | Hallucination Rates and Reference Accuracy of ChatGPT and Bard for Systematic Reviews: Comparative Analysis | Chelli, M.; Descamps, J.; Lavoué, V.; Trojani, C.; Azar, M.; Deckert, M.; Raynier, J.; Clowez, G.; Boileau, P.; Ruetsch-Chelli, C. | Journal of Medical Internet Research | 26 | e53164 | Compares hallucination rates and accuracy of ChatGPT and Bard in systematic reviews, highlighting their limitations for academic reliability. | 10.2196/53164 |
| 2019 | Review of Machine Learning Algorithms for Diagnosing Mental Illness | Cho, G.; Yim, J.; Choi, Y.; Ko, J.; Lee, S.-H. | Psychiatry Investigation | 16 | 262–269 | Review of ML algorithms like SVM, Random Forest, and their applications in diagnosing mental illness. | 10.30773/pi.2018.12.21.2 |
| 2022 | Mental Health Prediction Using Machine Learning: Taxonomy, Applications, and Challenges | Chung, J.; Teo, J. | Appl. Comput. Intell. Soft Comput. | 2022 | 1–19 | Systematic review of ML approaches for predicting various mental health issues. | 10.1155/2022/9970363 |
| 2023 | ChatGPT in the development of medical questionnaires. The example of the low back pain | Coraci, D.; Maccarone, M.C.; Regazzo, G.; Accordi, G.; Papathanasiou, J.V.; Masiero, S. | European Journal of Translational Myology | 33 | 12114 | Study on ChatGPT’s utility in generating medical questionnaires for low back pain, comparing its performance with validated tools. | 10.4081/ejtm.2023.12114 |
| 2023 | Could Artificial Intelligence be a Therapeutic for Mental Issues? | Darzi, P. | Science Insights | – | – | Reviews AI’s capacity for real-time diagnostics and therapeutic interventions using virtual therapists. | 10.15354/si.23.co132 |
| 2023 | From Human Writing to Artificial Intelligence Generated Text: Examining the Prospects and Potential Threats of ChatGPT in Academic Writing | Dergaa, I.; Chamari, K.; Zmijewski, P.; Saad, H.B. | Biology of Sport | 40 | 615-622 | Explores ChatGPT’s role in academic writing, discussing ethical concerns and its impact on research credibility. | 10.5114/biolsport.2023.125623 |
| 2024 | Applications of AI in Psychotherapy: An Innovative Tool | Du, J.S. | Cambridge Science Advance | Analyzes AI’s integration into psychotherapy, including chatbot use and ecological momentary assessments for improved outcomes. | 10.62852/csa/2024/8 | ||
| 2023 | Comparative Analysis of Machine Learning Techniques for Mental Health Prediction | E, N. P.; Juliet, S. | International Conference on Communication and Electronics Systems (ICCES) | – | 1–6 | Comparison of ML models like KNN, Random Forest, and Logistic Regression for mental health predictions. | 10.1109/ICCES57224.2023.10192763 |
| 2024 | The Butterfly Effect in artificial intelligence systems: Implications for AI bias and fairness | Ferrara, E. | Machine Learning with Applications | 15 | 100525 | Explores the Butterfly Effect in AI, highlighting the significance of minor changes in data and algorithms on bias and fairness. | 10.1016/j.mlwa.2024.100525 |
| 2018 | Your Robot Therapist Will See You Now: Ethical Implications of Embodied AI in Psychiatry, Psychology, and Psychotherapy | Fiske, A.; Henningsen, P.; Buyx, A. | Journal of Medical Internet Research | 21 | – | Discusses the ethical and social implications of embodied AI in mental health care, highlighting benefits and challenges. | 10.2196/13216 |
| 2017 | CBT with Woebot: A RCT for Anxiety and Depression | Fitzpatrick, K.; Darcy, A. M.; Vierhile, M. | JMIR Mental Health | 4 | – | Evaluates Woebot’s efficacy in delivering CBT for young adults with anxiety and depression. | 10.2196/mental.7785 |
| 2024 | AI in Healthcare: ChatGPT’s Significance in Transforming Patient-Physician Communication and Clinical Assistance | FNU, N.; Zeb, S.; Abbasi, N.; Qayyum, M.U.; Fahad, M. | Asian Journal of Engineering, Social and Health | 3 | xx-xx | Evaluation of ChatGPT’s impact on healthcare, focusing on patient-physician communication and clinical decision support. | |
| 2023 | Artificial Intelligence in Biomedicine: Systematic Review | Gabashvili, I.S. | medRxiv | Systematic review on AI in biomedicine, emphasizing ChatGPT’s impact across various medical fields. | 10.1101/2023.07.23.23292672 | ||
| 2017 | Artificial Intelligence: The Future of Cybertherapy? | Gaggioli, A. | Cyberpsychology, Behavior and Social Networking | 20 | 402–403 | Reviews AI’s evolution in cybertherapy, focusing on online therapy tools like chatbots. | 10.1089/cyber.2017.29075.csi |
| 2020 | A Phase Transition of the Unconscious: Automated Text Analysis of Dreams in Psychoanalytic Psychotherapy | Gennaro, A.; Kipp, S.; Viol, K.; Felice, G.d.; Andreassi, S.; Aichhorn, W.; Salvatore, S.; Schiepek, G. | Frontiers in Psychology | 11 | 1667 | This study applies automated text analysis to dream narratives in psychoanalytic psychotherapy, revealing phase transitions in patients’ unconscious processing. | 10.3389/fpsyg.2020.01667 |
| 2024 | Cases of Using ChatGPT as a Mental Health and Psychological Support Tool | Giray, L. | Journal of Consumer Health on the Internet | This narrative case study explores ChatGPT’s role in mental health support, showcasing diverse applications like grief counseling, ADHD management, and ethical concerns in AI-assisted mental health care. | 10.1080/15398285.2024.2442374 | ||
| 2020 | Machine learning and natural language processing in psychotherapy research: Alliance as example use case | Goldberg, S. B.; Flemotomos, N.; Martinez, V. R.; et al. | Journal of Counseling Psychology | 67(4) | 438–448 | Explores the use of ML and NLP in predicting therapeutic alliance from session recordings, discussing implementation challenges. | 10.1037/cou0000382 |
| 2024 | Ethical Considerations in the Use of Artificial Intelligence in Counselling and Psychotherapy Training: A Student Stakeholder Perspective—A Pilot Study | Gore, S.; Dove, E. | Counselling and Psychotherapy Research | 25 | e12770 | Pilot study on student perspectives regarding ethical challenges and benefits of AI tools in psychotherapy training. | 10.1002/capr.12770 |
| 2019 | Artificial Intelligence for Mental Health and Mental Illnesses: an Overview | Graham, S. A.; Depp, C.; Lee, E. E.; et al. | Current Psychiatry Reports | 21 | – | Examines AI’s potential in re-defining mental illnesses, improving early diagnosis, and personalizing treatments. | 10.1007/s11920-019-1094-0 |
| 2023 | Waiting for a Digital Therapist: Three Challenges on the Path to Psychotherapy Delivered by Artificial Intelligence | Grodniewicz, J.P.; Hohol, M. | Frontiers in Psychiatry | 14 | 1190084 | Identifies three main challenges in developing AI-based psychotherapy: understanding effectiveness, establishing therapeutic relationships, and limitations of narrow AI. | 10.3389/fpsyt.2023.1190084 |
| 2022 | Using Artificial Intelligence to Enhance Ongoing Psychological Interventions for Emotional Problems in Real-Time | Gual-Montolio, P.; Jaén, I.; Martínez-Borba, V.; et al. | International Journal of Environmental Research and Public Health | 19 | – | Reviews AI use in real-time psychotherapy, highlighting its potential to improve outcomes and satisfaction. | 10.3390/ijerph19137737 |
| 2024 | The Artificial Third: A Broad View of the Effects of Introducing Generative Artificial Intelligence on Psychotherapy | Haber, Y.; Levkovich, I.; Hadar-Shoval, D.; Elyoseph, Z. | JMIR Mental Health | 11 | e54781 | Analyzes the psychological and therapeutic implications of integrating generative AI in psychotherapy, conceptualizing it as a paradigm shift. | 10.2196/54781 |
| 2024 | AI-Supported Diagnostic of Depression Using Clinical Interviews: A Pilot Study | Hadžić, B.; Ohse, J.; Danner, M.; Peperkorn, N.; Mohammed, P.; Shiban, Y.; Rätsch, M. | VISIGRAPP 2024 | 500-507 | Explores the potential of GPT-based models for depression diagnosis from clinical interviews, achieving 88% accuracy in a pilot study. | 10.5220/0012439700003660 | |
| 2021 | “Like I’m Talking to a Real Person”: Exploring the Meaning of Transference for the Use and Design of AI-Based Applications in Psychotherapy | Holohan, M.; Fiske, A. | Frontiers in Psychology | 12 | 720476 | Analyzes the concept of transference in AI-human therapeutic encounters, highlighting ethical, social, and clinical implications for AI-based psychotherapy. | 10.3389/fpsyg.2021.720476 |
| 2020 | Can Artificial Intelligence Improve Psychotherapy Research and Practice? | Horn, R. L.; Weisz, J. | Administration and Policy in Mental Health | 47 | 852–855 | Analyzes AI’s data-driven enhancements and personalization in psychotherapy while discussing limitations. | 10.1007/s10488-020-01056-9 |
| 2024 | The Limitations and Ethical Considerations of ChatGPT | Hua, S.; Jin, S.; Jiang, S. | Data Intelligence | 6 | 201-239 | Examines the technical limitations and ethical issues of ChatGPT, offering governance recommendations for its responsible use. | 10.1162/dint_a_00243 |
| 2023 | Chat-GPT: Opportunities and Challenges in Child Mental Healthcare | Imran, N.; Hashmi, A.; Imran, A. | Pak J Med Sci | 39 | 1191-1195 | Discusses ChatGPT’s potential in revolutionizing child and adolescent mental healthcare while addressing ethical challenges. | 10.12669/pjms.39.4.8118 |
| 2022 | Machine Learning Models based Mental Health Detection | Karunakaran, M.; Balusamy, J.; Selvaraj, K. | International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT) | – | 835–842 | Investigates ML algorithms to detect mental health conditions using structured questionnaires. | 10.1109/ICICICT54557.2022.9917622 |
| 2023 | A Brief Review of Machine Learning Methods used in Mental Health Research | Kaur, V.; Gupta, K. | International Conference on Artificial Intelligence and Applications (ICAIA) | – | 1–6 | Overview of ML applications in mental health, highlighting trends, pitfalls, and future directions. | 10.1109/ICAIA57370.2023.10169520 |
| 2024 | Bridging the Skills Gap: Evaluating an AI-Assisted Provider Platform to Support Care Providers with Empathetic Delivery of Protocolized Therapy | Kearns, W.R.; Bertram, J.; Divina, M.; Kemp, L.; Wang, Y.; Marin, A.; Cohen, T.; Yuwen, W. | Not mentioned | This study evaluates the AI-Assisted Provider Platform (A2P2), designed to assist providers in delivering empathetic protocolized therapies, significantly improving response time and empathy accuracy. | |||
| 2024 | Artificial intelligence (AI) and ChatGPT involvement in scientific and medical writing, a new concern for researchers. A scoping review | Khalifa, A.A.; Ibrahim, M.A. | Arab Gulf Journal of Scientific Research | 42 | 1770–1787 | A scoping review discusses AI’s and ChatGPT’s role in medical and scientific writing, highlighting their potential and ethical concerns. | 10.1108/AGJSR-09-2023-0423 |
| 2024 | Using artificial intelligence in academic writing and research: An essential productivity tool | Khalifa, M.; Albadawy, M. | Computer Methods and Programs in Biomedicine Update | 5 | 100145 | A systematic review highlights AI’s impact on academic writing and research, providing a framework for effective and ethical integration of tools like ChatGPT. | 10.1016/j.cmpbup.2024.100145 |
| 2023 | The Potential and Concerns of Using AI in Scientific Research: ChatGPT Performance Evaluation | Khlaif, Z.N.; Mousa, A.; Hattab, M.K.; Itmazi, J.; Hassan, A.A.; Sanmugam, M.; Ayyoub, A. | JMIR Medical Education | 9 | e47049 | Evaluates ChatGPT’s efficacy in generating high-impact research, highlighting concerns about integrity, ownership, and methodological quality. | 10.2196/47049 |
| 2024 | Exploring Students’ Perspectives on Generative AI-Assisted Academic Writing | Kim, J.; Yu, S.; Detrick, R.; Li, N. | Education and Information Technologies | Analyzes students’ experiences with AI-assisted writing tools, emphasizing benefits in process improvement and identifying challenges like bias and reliance. | 10.1007/s10639-024-12878-7 | ||
| 2023 | Application of artificial intelligence tools in diagnosis and treatment of mental disorders | Kister, K.; Laskowski, J.; Makarewicz, A.; Tarkowski, J. | Current Problems of Psychiatry | – | – | Reviews AI’s use in diagnosing and treating disorders like ADHD and anorexia and its role in digital therapy. | 10.12923/2353-8627/2023-0001 |
| 2023 | Bias and Epistemic Injustice in Conversational AI | Laacke, S. | The American Journal of Bioethics | 23 | 46-48 | Examines the epistemic and ethical challenges of bias in conversational AI for psychotherapy. | 10.1080/15265161.2023.2191055 |
| 2024 | Computational Study of Dream Interpretations: Psychoanalytic Human vs Artificial Analyses | Laureano, M.H.; Calvo, H. | IEEE Congress on Evolutionary Computation | Explores the differences between human and ChatGPT-based analyses of dream interpretations using computational linguistics tools like LIWC. | 10.1109/CEC2024.10612036 | ||
| 2024 | Accelerating AI for Science: Open Data Science for Science | Lawrence, N.D.; Montgomery, J. | Royal Society Open Science | 11 | 231130 | Proposes a framework for enhancing AI adoption in science, focusing on open data, cross-disciplinary integration, and effective data stewardship. | 10.1098/rsos.231130 |
| 2021 | Machine Learning and Natural Language Processing in Mental Health: Systematic Review | Le Glaz, A.; Haralambous, Y.; Kim-Dufor, D.-H.; et al. | Journal of Medical Internet Research | 23 | – | A systematic review of ML and NLP applications in mental health diagnosis and clinical practices. | 10.2196/15708 |
| 2024 | ChatGPT in healthcare: A taxonomy and systematic review | Li, J.; Dada, A.; Puladi, B.; Kleesiek, J.; Egger, J. | Computer Methods and Programs in Biomedicine | 245 | 108013 | Systematic review on ChatGPT in healthcare, discussing applications, limitations, and research gaps in clinical settings. | 10.1016/j.cmpb.2024.108013 |
| 2023 | Application of Machine Learning to Predict Mental Health Disorders and Interpret Feature Importance | Li, Y. | International Symposium on Computer Technology and Information Science (ISCTIS) | – | 257–261 | Analysis of ML models predicting mental health disorders, with insights into feature importance. | 10.1109/ISCTIS58954.2023.10213032 |
| 2023 | New Psychological Education: Leveraging the Power of ChatGPT and Artificial Intelligence | Lin, Y. | Proceedings of the 2023 International Conference on Machine Learning and Automation | 220-225 | Discusses ChatGPT’s applications in psychological education, including mental health support, cognitive assessment, and VR therapy. | 10.54254/2755-2721/36/20230450 | |
| 2024 | Artificial intelligence in mental health: innovations brought by artificial intelligence techniques in stress detection and interventions of building resilience | Liu, F.; Ju, Q.; Zheng, Q.; Peng, Y. | Current Opinion in Behavioral Sciences | 60 | 101452 | Reviews AI’s role in stress detection and resilience-building interventions, highlighting machine learning advancements in mental health. | 10.1016/j.cobeha.2024.101452 |
| 2024 | Exploration on Artificial Intelligence Based on ChatGPT | Liu, J.; Wang, H. | 2024 5th International Seminar on Artificial Intelligence, Networking and Information Technology | Analyzes ChatGPT’s applications in customer service, social media, education, and healthcare, discussing future development trends. | 10.1109/AINIT61980.2024 | ||
| 2021 | The Ethics of Artificial Intelligence in Psychotherapy | Manríquez Roa, T.; Biller-Andorno, N.; Trachsel, M. | Oxford Handbook of Psychotherapy Ethics | – | – | Examines AI in psychotherapy through the lens of ethical principles, emphasizing justice and autonomy. | 10.1093/oxfordhb/9780198817338.013.91 |
| 2023 | Critical Issues for Regulating AI Use in Mental Healthcare and Medical Negligence | Mensah, G.B.; Addy, A. | ResearchGate Preprint | Discusses the legal and regulatory challenges of AI applications in mental healthcare, focusing on negligence and accountability. | 10.13140/RG.2.2.30853.97768 | ||
| 2019 | Key Considerations for Incorporating Conversational AI in Psychotherapy | Miner, A.S.; Shah, N.; Bullock, K.D.; Arnow, B.A.; Bailenson, J.; Hancock, J. | Frontiers in Psychiatry | 10 | 746 | Explores safety, trust, and oversight as crucial elements for incorporating conversational AI in psychotherapy, addressing integration with traditional services. | 10.3389/fpsyt.2019.00746 |
| 2023 | A Comprehensive Review on the Use of Artificial Intelligence in Mental Health Care | Mittal, A.; Dumka, L.; Mohan, L. | 2023 ICCCNT | – | 1–5 | Reviews AI applications like chatbots, wearables, and VR/AR in diagnosis and personalized mental health treatment. | 10.1109/ICCCNT56998.2023.10308255 |
| 2024 | AI, Automation and Psychotherapy – A Proposed Model for Losses and Gains in the Automated Therapeutic Encounter | Molden, H. | European Journal of Psychotherapy & Counselling | 26 | 48-66 | Analyzes the integration of AI in psychotherapy, proposing a taxonomy for human-machine interaction and evaluating therapeutic outcomes. | 10.1080/13642537.2024.2318628 |
| 2024 | On artificial intelligence and global mental health | Montag, C.; Ali, R.; Al-Thani, D.; Hall, B.J. | Asian Journal of Psychiatry | 91 | 103855 | Outlines AI’s potential and challenges in global mental health applications, emphasizing psychotherapeutic settings. | 10.1016/j.ajp.2024.103855 |
| 2024 | Effect of AI Counsellor’s Nonverbal Immediacy Behaviour on User Satisfaction: Serial Mediation of Positive Expectancy Violation and Rapport | Namkoong, M.; Park, Y.; Lee, S.; Park, G. | Behaviour & Information Technology | This study investigates the effects of AI counsellors’ nonverbal immediacy behaviours on user satisfaction, mediated by expectancy violations and rapport. | 10.1080/0144929X.2024.2367691 | ||
| 2024 | Revolutionizing Research in Social Sciences: The Transformative Potential of ChatGPT | Nath, S.; Katoch, O.R.; Sehgal, S. | Asian Journal of Education and Social Studies | 50 | 209-214 | Explores ChatGPT’s impact on social science research, focusing on its applications in data analysis, idea generation, and ethical considerations. | 10.9734/AJESS/2024/v50i31296 |
| 2024 | LLM-based Conversational AI Therapist for Daily Functioning Screening and Psychotherapeutic Intervention via Everyday Smart Devices | Nie, J.; Shao, H.; Fan, Y.; Shao, Q.; You, H.; Preindl, M.; Jiang, X. | Not mentioned | Presents CaiTI, an AI therapist using LLMs for daily screening and psychotherapeutic interventions, validated by psychotherapists for effectiveness. | |||
| 2024 | Autonomous VR Exposure Therapy for Anxiety Disorders | Obremski, D.; Wienrich, C. | Journal of Computer and Communications | – | – | Proposes an AI-guided VR exposure therapy system, highlighting ethical and technical considerations. | 10.4236/jcc.2024.124010 |
| 2024 | Enhancing mental health with Artificial Intelligence: Current trends and future prospects | Olawade, D.B.; Wada, O.Z.; Odetayo, A.; David-Olawade, A.C.; Asaolu, F.; Eberhardt, J. | Journal of Medicine, Surgery, and Public Health | 3 | 100099 | This review explores AI’s transformative potential in mental healthcare, focusing on early detection, personalized treatments, and ethical challenges. | 10.1016/j.glmedi.2024.100099 |
| 2023 | Using Artificial Intelligence in Mental Health Diagnosis | Osadchyi, O. | – | – | Explores AI’s potential to enhance diagnostics and treatment efficiency, including evaluation metrics for AI methods. | ||
| 2023 | Psychotherapy and Artificial Intelligence | Plakun, E. | Journal of Psychiatric Practice | 29 | 476–479 | Discusses challenges in integrating AI across therapy modalities, focusing on privacy and therapeutic relationships. | 10.1097/PRA.0000000000000748 |
| 2024 | A Bibliometric Analysis of Research on ChatGPT in Education | Polat, H.; Topuz, A.C.; Yıldız, M.; Taşlıbeyaz, E.; Kurşun, E. | International Journal of Technology in Education | 7 | 59–85 | Bibliometric analysis of research on ChatGPT in education, identifying trends, themes, and collaboration patterns. | 10.46328/ijte.606 |
| 2020 | Intelligent Conversational Agents in Mental Healthcare Services | Prakash, A. V.; Das, S. | Pacific Asia Journal of AIS | 12 | 1 | Reviews user perceptions of AI-based conversational agents in mental health care. | 10.17705/1PAIS.12201 |
| 2024 | The Usefulness of ChatGPT for Psychotherapists and Patients | Raile, P. | Humanities and Social Sciences Communications | 11 | 47 | Discusses ChatGPT as a supplement in psychotherapy, offering support for patients and ethical implications of AI in therapy. | 10.1057/s41599-023-02567-0 |
| 2023 | Artificial Intelligence in Psychological Diagnosis and Intervention | Ramírez, L.Á. | LatIA | 1 | 26 | Reviews AI’s role in psychological diagnosis and intervention, emphasizing NLP and chatbots in mental health care. | 10.62486/latia202326 |
| 2024 | ChatGPT: Empowering Lifelong Learning in the Digital Age of Higher Education | Rawas, S. | Education and Information Technologies | 29 | 6895-6908 | Examines ChatGPT’s role in personalized education, identifying both opportunities and challenges in its integration into higher education. | 10.1007/s10639-023-12114-8 |
| 2024 | Artificial Intelligence and Psychotherapy: A Counterpoint | Richards, D. | Counselling and Psychotherapy Research | 25 | e12758 | Highlights risks of overdependence on AI in psychotherapy and advocates for maintaining human-centric therapy practices. | 10.1002/capr.12758 |
| 2022 | On the Role of Artificial Intelligence in Psychiatry | Rocheteau, E. | The British Journal of Psychiatry | 222 | 54–57 | Discusses AI’s roles in diagnosis, symptom monitoring, personalized treatments, and associated ethical concerns. | 10.1192/bjp.2022.132 |
| 2024 | Health Care Professionals’ Views on the Use of Passive Sensing, AI, and Machine Learning in Mental Health Care: Systematic Review With Meta-Synthesis | Rogan, J.; Bucci, S.; Firth, J. | JMIR Mental Health | 11 | e49577 | Synthesizes qualitative findings on clinicians’ perspectives on AI in mental health, emphasizing barriers, facilitators, and ethical considerations. | 10.2196/49577 |
| 2023 | ChatGPT and Open-AI Models: A Preliminary Review | Roumeliotis, K.I.; Tselikas, N.D. | Future Internet | 15 | 192 | Provides an overview of ChatGPT’s development, applications, and challenges, offering a foundation for further research in AI-driven communication. | 10.3390/fi15060192 |
| 2023 | Machine learning in biosignals processing for mental health: A narrative review | Sajno, E.; Bartolotta, S.; Tuena, C.; Cipresso, P.; Pedroli, E.; Riva, G. | Frontiers in Psychology | 13 | – | Overview of ML algorithms using biosignals (EEG, ECG) in mental health diagnosis and precision medicine. | 10.3389/fpsyg.2022.1066317 |
| 2024 | Predicting Mental Health Outcomes Using Wearable Device Data and Machine Learning | Sanjay Suryawanshi, N. | International Journal of Innovative Science and Research Technology | – | – | Proposal of an ML system using wearable device data for predicting mental health outcomes. | 10.38124/ijisrt/ijisrt21mar587 |
| 2023 | AI Chatbots and Psychotherapy: A Match Made in Heaven? | Saqib, H.; Saqib, A. | JPMA | 73(11) | 2321 | Examines the benefits and challenges of AI chatbots like Woebot and Replika for delivering therapy. | 10.47391/jpma.9608 |
| 2022 | Conversational Artificial Intelligence in Psychotherapy: A New Therapeutic Tool or Agent? | Sedlakova, J.; Trachsel, M. | The American Journal of Bioethics | – | 45566 | Discusses whether conversational AI serves as a therapeutic tool or agent, analyzing its ethical implications in psychotherapy. | 10.1080/15265161.2022.2048739 |
| 2023 | AI Language Models in Human Reproduction Research: Exploring ChatGPT’s Potential to Assist Academic Writing | Semrl, N.; Feigl, S.; Taumberger, N.; Bracic, T.; Fluhr, H.; Blockeel, C.; Kollmann, M. | Human Reproduction | 38 | 2281-2288 | Evaluates ChatGPT’s capabilities in academic writing within human reproduction research, emphasizing potential and ethical issues. | 10.1093/humrep/dead207 |
| 2019 | Machine Learning in Mental Health: A Scoping Review of Methods and Applications | Shatte, A. B. R.; Hutchinson, D.; Teague, S. | Psychological Medicine | 49 | 1426–1448 | Summarizes ML applications in mental health, focusing on diagnostics, public health, and clinical settings. | 10.1017/S0033291719000151 |
| 2024 | Role of activity-based learning and ChatGPT on students’ performance in education | Shloul, T.A.; Mazhar, T.; Abbas, Q.; Iqbal, M.; Ghadi, Y.Y.; Shahzad, T.; Mallek, F.; Hamam, H. | Computers and Education: Artificial Intelligence | 6 | 100219 | This study investigates the impact of activity-based learning and the utilization of ChatGPT on students’ academic performance, emphasizing innovative teaching methodologies. | 10.1016/j.caeai.2024.100219 |
| 2022 | Machine Learning Approaches for Mental Health Diagnosis | Singh, A. | International Journal of Health Sciences | – | – | Comparative study of ML models like Random Forest and Logistic Regression for diagnosing mental health disorders. | 10.53730/ijhs.v6ns1.7586 |
| 2024 | Enhancing Supervisory Practice in Positive and Transcultural Psychotherapy Through Artificial Intelligence | Sokolovskaya, M. | The Global Psychotherapist | – | – | Explores AI’s role in enhancing psychotherapy supervision via neural networks and case analysis tools. | 10.52982/lkj253 |
| 2018 | Behavioral Modeling for Mental Health using Machine Learning Algorithms | Srividya, M.; Mohanavalli, S.; Bhalaji, N. | Journal of Medical Systems | 42 | 1–12 | Examines the application of ML algorithms for predicting mental health disorders using behavioral data. | 10.1007/s10916-018-0934-5 |
| 2024 | The ethics of ChatGPT – Exploring the ethical issues of an emerging technology | Stahl, B.C.; Eke, D. | International Journal of Information Management | 74 | 102700 | Analyzes ethical issues surrounding ChatGPT, balancing benefits and concerns using established ethical frameworks. | 10.1016/j.ijinfomgt.2023.102700 |
| 2016 | Prediction of Mental Health Problems Among Children Using Machine Learning Techniques | Sumathi, M.; Poorna, B. | International Journal of Advanced Computer Science and Applications | 7 | – | Examines ML techniques for diagnosing children’s mental health issues with comparative performance evaluation. | 10.14569/IJACSA.2016.070176 |
| 2023 | AI in Healthcare: Navigating Opportunities and Challenges in Digital Communication | Sun, G.; Zhou, Y. | Frontiers in Digital Health | 5 | 1291132 | Reviews the transformative role of AI chatbots in healthcare communication, highlighting opportunities, ethical challenges, and future directions. | 10.3389/fdgth.2023.1291132 |
| 2023 | Artificial intelligence in psychiatry research, diagnosis, and therapy | Sun, J.; Dong, Q.; Wang, S.; Zheng, Y.; Liu, X.; Lu, T.; Yuan, K.; Shi, J.; Hu, B.; Lu, L.; Han, Y. | Asian Journal of Psychiatry | 87 | 103705 | Broad overview of AI applications in psychiatry, covering diagnosis, treatment, and real-time monitoring of psychiatric disorders. | 10.1016/j.ajp.2023.103705 |
| 2021 | Machine Learning-based Mental Health Analysis and Early Warning for College Students | Sun, Y.; Wu, H.; Li, H.; Fu, Y. | IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C) | – | 569–578 | Analysis and evaluation of ML models for mental health screening among college students using real datasets. | 10.1109/QRS-C55045.2021.00087 |
| 2024 | Risk Management in Agile AI/ML Projects: Identifying and Mitigating Data and Model Risks | Tak, A.; Chahal, S. | Journal of Technology and Systems | 6 | 1–18 | Framework for managing risks in Agile AI/ML projects, focusing on data quality and model robustness. | 10.47941/jts.1824 |
| 2020 | Machine Learning in Mental Health | Thieme, A.; Belgrave, D.; Doherty, G. | ACM Transactions on Computer-Human Interaction (TOCHI) | 27 | 1–53 | A systematic review highlighting trends, gaps, and challenges in ML for psychosocial mental health. | 10.1145/3398069 |
| 2023 | Mental Health Predictive Analysis using Multiple Machine Learning Techniques | Tressa, N.; Asha, V.; Prasad, A.; Prathith; Kumar, P. D.; Saju, B. | International Conference on Communication, Security and Artificial Intelligence (ICCSAI) | – | 92–97 | Evaluation of ML techniques for predicting mental health issues like schizophrenia and anxiety. | 10.1109/ICCSAI59793.2023.10421007 |
| 2019 | Applications of Machine Learning in Real-Life Digital Health Interventions | Triantafyllidis, A. K.; Tsanas, A. | Journal of Medical Internet Research | 21 | – | Review of ML-enabled digital health interventions, including mental health and stress management applications. | 10.2196/12286 |
| 2024 | Practical Use of ChatGPT in Psychiatry for Treatment Plan and Psychoeducation | Vahedifard, F.; Haghighi, A.S.; Dave, T.; Tolouei, M.; Zare, F.H. | Not mentioned | Discusses ChatGPT’s role in psychiatry for treatment planning, psychoeducation, and ethical considerations in AI applications. | |||
| 2023 | Tools for AI-driven Development of Research Competencies | Valbuena, C.N.A. | LatIA | 1 | 16 | Explores the transformative potential of AI tools in research, emphasizing efficiency in data analysis and hypothesis generation, with implications for fields like biomedicine. | 10.62486/latia202316 |
| 2021 | Is the Automation of Digital Mental Health Ethical? | Vilaza, G. N.; McCashin, D. | Frontiers in Digital Health | 3 | – | Applies an ethical framework to AI-based CBT tools, exploring beneficence, autonomy, justice, and explicability. | 10.3389/fdgth.2021.689736 |
| 2024 | The Role of Artificial Intelligence in Psychiatry | Wernigg, R.; Hajduska-Dér, B. | Psychiatria Hungarica | 39(1) | 24–35 | Examines ANI’s applications in diagnostics, therapy, and prevention, including ethical implications. | |
| 2024 | eXplainable AI for Routine Outcome Monitoring and Clinical Feedback | Westbye, H.J.; Moltu, C.; McAleavey, A.A. | Counselling and Psychotherapy Research | 25 | e12764 | Explores the use of explainable AI in psychotherapy to enhance trust and adoption of clinical decision-support tools. | 10.1002/capr.12764 |
| 2024 | Could Artificial Intelligence Write Mental Health Nursing Care Plans? | Woodnutt, S.; Allen, C.; Snowden, J.; Flynn, M.; Hall, S.; Libberton, P.; Purvis, F. | Journal of Psychiatric and Mental Health Nursing | 31 | 79-86 | Debates AI’s ability to create meaningful nursing care plans, identifying risks of ethical and relational harm in mental health care. | 10.1111/jpm.12965 |
| 2024 | HealMe: Harnessing Cognitive Reframing in Large Language Models for Psychotherapy | Xiao, M.; Xie, Q.; Kuang, Z.; Liu, Z.; Yang, K.; Peng, M.; Han, W.; Huang, J. | Not mentioned | HealMe introduces a model that employs LLMs for cognitive reframing therapy, addressing negative thoughts and fostering rational perspectives. | |||
| 2024 | Human-AI Collaboration in Thematic Analysis using ChatGPT: A User Study and Design Recommendations | Yan, L.; Echeverria, V.; Nieto, G.F.; Jin, Y.; Swiecki, Z.; Zhao, L.; Gašević, D.; Martinez-Maldonado, R. | Not mentioned | Investigates ChatGPT’s role in thematic analysis, offering design recommendations for enhanced human-AI collaboration. | |||
| 2024 | Transformative Automation: AI in Scientific Literature Reviews | Zala, K.; Acharya, B.; Mashru, M.; Palaniappan, D.; Gerogiannis, V.C.; Kanavos, A.; Karamitsos, I. | International Journal of Advanced Computer Science and Applications | 15 | 1-16 | Explores AI’s integration into systematic literature reviews, emphasizing NLP, ML, and automation to streamline the research process. | 10.14569/IJACSA.2024.0150101 |
| 2024 | Redefining Qualitative Analysis in the AI Era: Utilizing ChatGPT for Efficient Thematic Analysis | Zhang, H.; Wu, C.; Xie, J.; Lyu, Y.; Cai, J.; Carroll, J.M. | Not mentioned | Explores ChatGPT’s application in thematic analysis, emphasizing prompt design to enhance qualitative research efficiency. | |||
| 2024 | Leveraging ChatGPT for Effective Research Design and Data Analysis | Zhang, M.; Wu, K.; Kang, M. | Asian Journal of Artificial Intelligence | 2 | 1-25 | Analyzes ChatGPT’s integration into mixed-methods research, emphasizing its potential to streamline qualitative and quantitative methodologies while addressing ethical challenges. |