The DOI matches its Crossref record; 53 of the 53 references it cites were found in a registry or an index.
AI in mental health
Abstract
With the advent of digital approaches to mental health, modern artificial intelligence (AI), and machine learning in particular, is being used in the development of prediction, detection and treatment solutions for mental health care. In terms of treatment, AI is being incorporated into digital interventions, particularly web and smartphone apps, to enhance user experience and optimise personalised mental health care. In terms of prediction and detection, modern streams of abundant data mean that data-driven AI methods can be employed to develop prediction/detection models for mental health conditions. In particular, an individual's 'digital exhaust', the data gathered from their numerous personal digital device and social media interactions, can be mined for behavioural or mental health insights. Language, long considered a window into the human mind, can now be quantitatively harnessed as data with powerful computer-based natural language processing to also provide a method of inferring mental health. Furthermore, natural language processing can also be used to develop conversational agents used for therapeutic intervention.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“These tools show potential for AI mental health chatbots; however, critiques have been made about the size of the sample in the validation studies and the lack of research on their long-term efficacy [22].”
From Providing Self-Led Mental Health Support Through an Artificial Intelligence–Powered Chat Bot (Leora) to Meet the Demand of Mental Health Care (2023) · cites this paper as [22]
In the citing paper
“A number of mobile apps for mental health are available in app stores that have incorporated artificial intelligence (AI) and machine learning (ML) technologies into their service [16–18].”
From Artificial intelligence and machine learning in mobile apps for mental health: A scoping review (2022) · cites this paper as [18]
Citations
Cites
ELIZA—a computer program for the study of natural language communication between man and machine
Weizenbaum, J. (1966) · Communications of the ACM · doi:10.1145/365153.365168 · Cited by 4,452
ELIZA — a computer program for the study of natural language communication between man and machine
Weizenbaum, J. (1983) · Communications of the ACM · doi:10.1145/357980.357991 · Cited by 2,807
Fitzpatrick, K. K., Darcy, A., & Vierhile, M. (2017) · JMIR Mental Health · doi:10.2196/mental.7785 · Cited by 2,730 · cited 1×
“However, both groups significantly reduced anxiety as measured by the Generalized Anxiety Disorder scale (GAD-7) [44].”
MethodConversational agents in healthcare: a systematic review
Laranjo, L., Dunn, A. G., Tong, H. L., Kocaballi, A. B., Chen, J., Bashir, R., Surian, D., Gallego, B., Magrabi, F., Lau, A. Y. S., et al. (2018) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocy072 · Cited by 1,388 · cited 1×
“The underlying system can be based on a variety of foundations, ranging from a set of simple rule-based responses and keyword matching to sophisticated NLP techniques [35,36].”
BackgroundInkster, B., Sarda, S., & Subramanian, V. (2018) · doi:10.2196/preprints.12106 · Cited by 1,063
Chatbots and Conversational Agents in Mental Health: A Review of the Psychiatric Landscape
Vaidyam, A. N., Wisniewski, H., Halamka, J. D., Kashavan, M. S., & Torous, J. B. (2019) · The Canadian Journal of Psychiatry · doi:10.1177/0706743719828977 · Cited by 1,048
Artificial intelligence for mental health and mental illnesses: an overview
Graham, S., Depp, C., Lee, E. E., Nebeker, C., Tu, X., Kim, H.-C., & Jeste, D. V. (2019) · Current Psychiatry Reports · doi:10.1007/s11920-019-1094-0 · Cited by 970
Personal Sensing: Understanding Mental Health Using Ubiquitous Sensors and Machine Learning
Mohr, D. C., Zhang, M., & Schueller, S. M. (2017) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-032816-044949 · Cited by 802
Harnessing Smartphone-Based Digital Phenotyping to Enhance Behavioral and Mental Health
Onnela, J.-P., & Rauch, S. L. (2016) · Neuropsychopharmacology · doi:10.1038/npp.2016.7 · Cited by 726
Fulmer, R., Joerin, A., Gentile, B., Lakerink, L., & Rauws, M. (2018) · doi:10.2196/preprints.9782 · Cited by 715
Flagged first, then by citations
Research works printed but not linked: 5
- Ramesh, 2017, A Survey of Design Techniques for Conversational Agents,” in Information, Communication and Computing Technology, ICICCT 2017, vol. 750
- Inkster, 2018, JMIR Mhealth Uhealth, 6, 10.2196/12106 · DOI · Paper page
- Fiske, 2019, J Med Internet Res, 21
- Kretzschmar, 2019, Insights, 11, 1
- Gooding, 2019, Mapping the rise of digital mentalE health technologies: emerging issues for law and society, vol. 67
Cited by
Sorted by citations
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. T., & Eberhardt, J. (2024) · Journal of Medicine Surgery and Public Health · doi:10.1016/j.glmedi.2024.100099 · Cited by 667
Artificially intelligent chatbots in digital mental health interventions: a review
Boucher, E. M., Harake, N. R., Ward, H. E., Stoeckl, S. E., Vargas, J., Minkel, J., Parks, A. C., & Zilca, R. (2021) · Expert Review of Medical Devices · doi:10.1080/17434440.2021.2013200 · Cited by 440
From promise to practice: towards the realisation of AI-informed mental health care
Koutsouleris, N., Hauser, T. U., Skvortsova, V., & De Choudhury, M. (2022) · The Lancet Digital Health · doi:10.1016/s2589-7500(22)00153-4 · Cited by 251
To chat or bot to chat: Ethical issues with using chatbots in mental health
Coghlan, S., Leins, K., Sheldrick, S., Cheong, M., Gooding, P., & D'Alfonso, S. (2023) · DIGITAL HEALTH · doi:10.1177/20552076231183542 · Cited by 215
Self-citationKhawaja, Z., & Bélisle-Pipon, J.-C. (2023) · Frontiers in Digital Health · doi:10.3389/fdgth.2023.1278186 · Cited by 214
Exploring the Ethical Challenges of Conversational AI in Mental Health Care: Scoping Review
Rahsepar Meadi, M., Sillekens, T., Metselaar, S., van Balkom, A., Bernstein, J., & Batelaan, N. (2025) · JMIR Mental Health · doi:10.2196/60432 · Cited by 211
An AI-based decision support system for predicting mental health disorders
Tutun, S., Johnson, M. E., Ahmed, A., Albizri, A., Irgil, S., Yesilkaya, I., Ucar, E. N., Sengun, T., & Harfouche, A. (2023) · Information Systems Frontiers · doi:10.1007/s10796-022-10282-5 · Cited by 177
Digital Mental Health Challenges and the Horizon Ahead for Solutions
Balcombe, L., & Leo, D. D. (2021) · JMIR Mental Health · doi:10.2196/26811 · Cited by 212
AI Chatbots in Digital Mental Health
Balcombe, L. (2023) · Informatics · doi:10.3390/informatics10040082 · Cited by 174
Volkmar, G. V., Fischer, P. M., & Reinecke, S. (2022) · Journal of Business Research · doi:10.1016/j.jbusres.2022.04.007 · Cited by 227
Is AI the Future of Mental Healthcare?
Minerva, F., & Giubilini, A. (2023) · Topoi · doi:10.1007/s11245-023-09932-3 · Cited by 154
Hornstein, S., Zantvoort, K., Lueken, U., Funk, B., & Hilbert, K. (2023) · Frontiers in Digital Health · doi:10.3389/fdgth.2023.1170002 · Cited by 134
Designing Personality-Adaptive Conversational Agents for Mental Health Care
Ahmad, R., Siemon, D., Gnewuch, U., & Robra-Bissantz, S. (2022) · Information Systems Frontiers · doi:10.1007/s10796-022-10254-9 · Cited by 134
Mhlanga, D. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19031879 · Cited by 137
Human-AI interaction research agenda: A user-centered perspective
Tingting, J., Sun, Z., Fu, S., & Lv, Y. (2024) · Data and Information Management · doi:10.1016/j.dim.2024.100078 · Cited by 162
Use of AI in Mental Health Care: Community and Mental Health Professionals Survey
Cross, S., Bell, I., Nicholas, J., Valentine, L., Mangelsdorf, S., Baker, S., Titov, N., & Alvarez-Jimenez, M. (2024) · JMIR Mental Health · doi:10.2196/60589 · Cited by 113
van der Schyff, E. L., Ridout, B., Amon, K. L., Forsyth, R., & Campbell, A. J. (2023) · Journal of Medical Internet Research · doi:10.2196/46448 · Cited by 109
“These tools show potential for AI mental health chatbots; however, critiques have been made about the size of the sample in the validation studies and the lack of research on their long-term efficacy [22].”
Implementation of Cognitive Behavioral Therapy in e–Mental Health Apps: Literature Review
Denecke, K., Schmid, N., & Nüssli, S. (2022) · Journal of Medical Internet Research · doi:10.2196/27791 · Cited by 107
The Application of the Principles of Responsible AI on Social Media Marketing for Digital Health
Liu, R., Gupta, S., & Patel, P. (2021) · Information Systems Frontiers · doi:10.1007/s10796-021-10191-z · Cited by 124
Mitsea, E., Drigas, A. S., & Skianis, C. A. (2023) · Behavioral Sciences · doi:10.3390/bs13121008 · Cited by 130
Ni, Y., & Jia, F. (2025) · Healthcare · doi:10.3390/healthcare13101205 · Cited by 144
Gooding, P., & Kariotis, T. (2021) · JMIR Mental Health · doi:10.2196/24668 · Cited by 100
Grodniewicz, J. P., & Hohol, M. (2023) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2023.1190084 · Cited by 100
“Just as a human therapist might do, it makes sure that it has understood the user correctly [3], normalizes the user’s experience (“Sadness can make the smallest tasks seem like unclimbable mountains), and suggests a form of the therapeutic alliance (“we can get through this together”) [5].”
BackgroundReimagining Healthcare: Unleashing the Power of Artificial Intelligence in Medicine
Iqbal, J., Jaimes, D. C. C., Makineni, P., Subramani, S., Hemaida, S., Thugu, T. R., Butt, A. N., Sikto, J. T., Kaur, P., Lak, M. A., et al. (2023) · Cureus · doi:10.7759/cureus.44658 · Cited by 120
AI in the Classroom: Insights from Educators on Usage, Challenges, and Mental Health
Delello, J. A., Sung, W., Mokhtari, K., Hebert, J., Bronson, A., & Giuseppe, T. D. (2025) · Education Sciences · doi:10.3390/educsci15020113 · Cited by 87
Artificial Intelligence-Enabled Chatbots in Mental Health: A Systematic Review
Omarov, B. S., Narynov, S., & Zhumanov, Z. (2022) · Computers, materials & continua/Computers, materials & continua (Print) · doi:10.32604/cmc.2023.034655 · Cited by 84
Thematic Analysis through Artificial Intelligence (AI)
Christou, P. (2024) · The Qualitative Report · doi:10.46743/2160-3715/2024.7046 · Cited by 125
Appraising the performance of ChatGPT in psychiatry using 100 clinical case vignettes
Franco D’Souza, R., Amanullah, S., Mathew, M., & Surapaneni, K. M. (2023) · Asian Journal of Psychiatry · doi:10.1016/j.ajp.2023.103770 · Cited by 77
Kjell, O., Kjell, K., & Schwartz, H. A. (2023) · Psychiatry Research · doi:10.1016/j.psychres.2023.115667 · Cited by 115
Fardouly, J., Crosby, R. D., & Sukunesan, S. (2022) · Journal of Eating Disorders · doi:10.1186/s40337-022-00581-2 · Cited by 79
Islam, M. M., Hassan, S., Akter, S., Jibon, F. A., & Sahidullah, M. (2024) · Healthcare Analytics · doi:10.1016/j.health.2024.100350 · Cited by 89
Artificial intelligence and machine learning in mobile apps for mental health: A scoping review
Milne-Ives, M., Selby, E., Inkster, B., Lam, C., & Meinert, E. (2022) · PLOS Digital Health · doi:10.1371/journal.pdig.0000079 · Cited by 68
Zafar, F., Alam, L. F., Vivas, R. R., Wang, J., Whei, S. J., Mehmood, S., Sadeghzadegan, A., Lakkimsetti, M., & Nazir, Z. (2024) · Cureus · doi:10.7759/cureus.56472 · Cited by 84
Rollwage, M., Habicht, J., Juechems, K., Carrington, B., Viswanathan, S., Stylianou, M., Hauser, T. U., & Harper, R. J. (2023) · JMIR AI · doi:10.2196/44358 · Cited by 66
The compatibility of theoretical frameworks with machine learning analyses in psychological research
Elhai, J. D., & Montag, C. (2020) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2020.05.002 · Cited by 70
Pani, B., Crawford, J., & Allen, K.-A. (2024) · Applications of Generative AI · doi:10.1007/978-3-031-46238-2_13 · Cited by 57
Nilsén, P., Svedberg, P., Nygren, J., Frideros, M., Johansson, J., & Schueller, S. M. (2022) · Implementation Research and Practice · doi:10.1177/26334895221112033 · Cited by 71
Xie, Z., & Wang, Z. (2024) · Psychology Research and Behavior Management · doi:10.2147/prbm.s447487 · Cited by 56
Lee, H. S., Wright, C., Ferranto, J., Buttimer, J., Palmer, C. E., Welchman, A., Mazor, K. M., Fisher, K. A., Smelson, D., O’Connor, L., et al. (2025) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2024.1505024 · Cited by 55
Balcombe, L., & Leo, D. D. (2020) · JMIR Formative Research · doi:10.2196/22755 · Cited by 60
Diagnosis of Depressive Disorder Model on Facial Expression Based on Fast R-CNN
Lee, Y.-S., & Park, W.-H. (2022) · Diagnostics · doi:10.3390/diagnostics12020317 · Cited by 55
MacNeill, A. L., Doucet, S. A., & Luke, A. (2024) · JMIR Formative Research · doi:10.2196/50025 · Cited by 82
Kiuchi, K., Otsu, K., & Hayashi, Y. (2023) · Behaviour and Information Technology · doi:10.1080/0144929x.2023.2286528 · Cited by 55
Rollwage, M., Juechems, K., Habicht, J., Carrington, B., Hauser, T. U., & Harper, R. J. (2024) · BMJ Innovations · doi:10.1136/bmjinnov-2023-001110 · Cited by 48
User Experiences of Well-Being Chatbots
Kettle, L., & Lee, Y.-C. (2024) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1177/00187208231162453 · Cited by 45
Timm, I., Giurgiu, M., Ebner‐Priemer, U., & Reichert, M. (2024) · Sports Medicine · doi:10.1007/s40279-024-02016-1 · Cited by 52
Zhou, S., & Mohd, M. (2025) · IEEE Access · doi:10.1109/access.2025.3559170 · Cited by 50
Arif, M. (2021) · Journal of Information Security and Cybercrimes Research · doi:10.26735/gbtv9013 · Cited by 46
Rani, K., Vishnoi, H., & Mishra, M. (2023) · International Conference on Disruptive Technologies (ICDT) · doi:10.1109/icdt57929.2023.10150665 · Cited by 41
Opportunities and Challenges for Large Language Models in Primary Health Care
Qin, H., & Tong, Y. (2025) · Journal of Primary Care & Community Health · doi:10.1177/21501319241312571 · Cited by 45
A Framework to Guide Implementation of AI in Health Care: Protocol for a Cocreation Research Project
Nilsén, P., Svedberg, P., Neher, M., Nair, M., Larsson, I., Petersson, L., & Nygren, J. (2023) · JMIR Research Protocols · doi:10.2196/50216 · Cited by 37
Chen, C., Lam, K. T., Yip, K. M., So, H. K., Lum, T. Y. S., Wong, I. C. K., Yam, J. C., Chui, C. S. L., & Ip, P. (2025) · JMIR Human Factors · doi:10.2196/65785 · Cited by 35
Qi, Y. (2024) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2023.2301256 · Cited by 36
Rasouli, S., Ghafurian, M., Nilsen, E. S., & Dautenhahn, K. (2023) · Computers in Human Behavior · doi:10.1016/j.chb.2023.108072 · Cited by 41
Dong, C., Ji, Y., Fu, Z., Qi, Y. P., Yi, T., Yang, Y., Sun, Y., & Sun, H. (2025) · iScience · doi:10.1016/j.isci.2025.112044 · Cited by 38
Evaluation of Mental Health Mobile Applications
Agarwal, S., Jalan, M., Wilcox, H. C., Sharma, R., Hill, R., Pantalone, E., Thrul, J., Rainey, J. C., & Robinson, K. A. (2022) · doi:10.23970/ahrqepctb41 · Cited by 33
Heinz, M. V., Bhattacharya, S., Trudeau, B. M., Quist, R. E., Song, S. H., Lee, C. M., & Jacobson, N. C. (2023) · Digital Health · doi:10.1177/20552076231170499 · Cited by 36
Talking Mental Health: a Battle of Wits Between Humans and AI
Lopes, E., Jain, G., Carlbring, P., & Pareek, S. (2023) · Journal of Technology in Behavioral Science · doi:10.1007/s41347-023-00359-6 · Cited by 31
Thenral, M., & Annamalai, A. (2020) · Indian Journal of Psychological Medicine · doi:10.1177/0253717620973414 · Cited by 30
A New Research Model for Artificial Intelligence–Based Well-Being Chatbot Engagement: Survey Study
Yang, Y., Tavares, J., & Oliveira, T. (2024) · JMIR Human Factors · doi:10.2196/59908 · Cited by 43
Karizat, N., Vinson, A., Parthasarathy, S., & Andalibi, N. (2024) · Proc. ACM Hum. Comput. Interact. · doi:10.1145/3637383 · Cited by 26
Linardon, J., Liu, C., Messer, M., McClure, Z., Anderson, C., & Jarman, H. K. (2025) · International Journal of Eating Disorders · doi:10.1002/eat.24385 · Cited by 51
Computational Scientific Discovery in Psychology
Bartlett, L., Pirrone, A., Javed, N., & Gobet, F. R. (2022) · Perspectives on Psychological Science · doi:10.1177/17456916221091833 · Cited by 37
Held, P., Pridgen, S. A., Chen, Y., Akhtar, Z., Amin, D., & Pohorence, S. (2024) · JMIR Research Protocols · doi:10.2196/58195 · Cited by 28
“The ability of large language models (LLMs) to mimic human language provides the opportunity to build digital mental health tools that may feel more natural and engaging [7,8].”
BackgroundHoffman, B. D., Oppert, M. L., & Owen, M. S. (2024) · Computers in Human Behavior Artificial Humans · doi:10.1016/j.chbah.2024.100086 · Cited by 34
Exploring the societal implications of digital mental health technologies: A critical review
Stein, O. A., & Prost, A. (2024) · SSM - Mental Health · doi:10.1016/j.ssmmh.2024.100373 · Cited by 35
Wang, Y., Li, X., Zhang, Q., Yeung, D. Y.-L., & Wu, Y. (2025) · JMIR mhealth and uhealth · doi:10.2196/63806 · Cited by 59
A framework for designing AI systems that support community wellbeing
van der Maden, W., Lomas, D., & Hekkert, P. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.1011883 · Cited by 33
Cinalioglu, K., Elbaz, S., Sekhon, K., Su, C., Rej, S., & Sekhon, H. (2023) · Journal of Medical Internet Research · doi:10.2196/38169 · Cited by 33
ChatGPT as a psychotherapist for anxiety disorders: An empirical study with anxiety patients
Alanzi, T. M., Alharthi, A. K. Z., Alrumman, S. N., Abanmi, S. N., Jumah, A., Alansari, H., Alharthi, T. S., Alibrahim, A. O., Algethami, A. A., Aburass, M. K., et al. (2024) · Nutrition and Health · doi:10.1177/02601060241281906 · Cited by 26
Analyzing the Challenges Facing Digital Mental Health (DMH) Between Aspiration and Reality
Tassnim, R., Ja'far, R. A. T., & Al-Tarawneh, A. M. A. (2024) · International Conference on Cyber Resilience (ICCR) · doi:10.1109/iccr61006.2024.10533151 · Cited by 24
Waters, L. E., & Loton, D. J. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.774967 · Cited by 33
The leading global health challenges in the artificial intelligence era
Zaidan, A. M. (2023) · Frontiers in Public Health · doi:10.3389/fpubh.2023.1328918 · Cited by 31
Duro, E. S. D., Improta, R., & Stella, M. (2025) · Emerging Trends in Drugs Addictions and Health · doi:10.1016/j.etdah.2025.100170 · Cited by 28
He, Q., Du, F., & Simonse, L. W. L. (2021) · JMIR Medical Informatics · doi:10.2196/23238 · Cited by 25
Review of Advancements in Depression Detection Using Social Media Data
Dalal, S., Jain, S., & Dave, M. (2024) · IEEE Transactions on Computational Social Systems · doi:10.1109/tcss.2024.3448624 · Cited by 27
Unleashing the potential of chatbots in mental health: bibliometric analysis
Qing, H., & Zhao, C. (2025) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2025.1494355 · Cited by 23
Devaram, S. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2012.09130 · Cited by 23
Stade, E. C., Eichstaedt, J. C., Kim, J. P., & Wiltsey Stirman, S. (2025) · Technology, Mind, and Behavior · doi:10.1037/tmb0000163 · Cited by 23
Taiwo, O., & Al‐Bander, B. (2025) · Cognitive Computation and Systems · doi:10.1049/ccs2.12116 · Cited by 27
Transforming mental health research and care through artificial intelligence
Opel, N., & Breakspear, M. J. (2026) · Science · doi:10.1126/science.adz9193 · Cited by 29
Bingley, W., Haslam, S. A., Steffens, N. K., Gillespie, N. A., Worthy, P., Curtis, C., Lockey, S., Bialkowski, A., Ko, R. K. L., & Wiles, J. (2023) · New Ideas in Psychology · doi:10.1016/j.newideapsych.2023.101025 · Cited by 31
Hwang, G., Lee, D. Y., Seol, S., Jung, J., Choi, Y., Her, E. S., An, M. H., & Park, R. W. (2023) · Psychiatry Research · doi:10.1016/j.psychres.2023.115655 · Cited by 22
Yoo, D. W., Woo, H., Pendse, S. R., Lu, N. Y., Birnbaum, M. L., Abowd, G. D., & Choudhury, M. D. (2024) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3637372 · Cited by 23
Digital technological interventions in mental health care
Srivastava, K., Chaudhury, S., Dhamija, S., Prakash, J., & Chatterjee, K. (2020) · Industrial Psychiatry Journal · doi:10.4103/ipj.ipj_32_21 · Cited by 22
Ma, Y.-Z., Zeng, Y., Liu, T., Sun, R., Xiao, M.-Z., & Wang, J. (2024) · Frontiers in Public Health · doi:10.3389/fpubh.2024.1475867 · Cited by 26
Artificial intelligence in forensic mental health: A review of applications and implications
Olawade, D. B., Ayoola, F. I., Ebo, T. O., Asaolu, A. J., Egbon, E., & David-Olawade, A. C. (2025) · Journal of Forensic and Legal Medicine · doi:10.1016/j.jflm.2025.102895 · Cited by 27
Nilsén, P., Reed, J. E., Nair, M., Savage, C., Macrae, C., Barlow, J. G., Svedberg, P., Larsson, I., Lundgren, L. E., & Nygren, J. (2022) · Frontiers in Health Services · doi:10.3389/frhs.2022.961475 · Cited by 23
Personalization in Digital Psychological Interventions for Young Adults
Jahedi, F., Henman, P. W. F., & Ryan, J. C. (2022) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2022.2158261 · Cited by 24
Henkel, T., Linn, A. J., & van der Goot, M. J. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-25581-6_6 · Cited by 22
Stock, A., Schlögl, S., & Groth, A. (2023) · Lecture notes in computer science · doi:10.1007/978-3-031-35894-4_13 · Cited by 21
GÜLTEKİN, M., & ŞAHİN, M. (2024) · Cyberpsychology Journal of Psychosocial Research on Cyberspace · doi:10.5817/cp2024-1-6 · Cited by 23
Paraschiv, E.-A., Băjenaru, L., Petrache, M.-C., Bica, O., & Nicolau, D.-N. (2024) · Future Internet · doi:10.3390/fi16110424 · Cited by 22
AI for mental health: clinician expectations and priorities in computational psychiatry
Fischer, L., Mann, P. A., Nguyen, M.-H. H., Becker, S., Khodadadi, S. H. A., Schulz, A., Thanarajah, S. E., Repple, J., Hahn, T., Reif, A., et al. (2025) · BMC Psychiatry · doi:10.1186/s12888-025-06957-3 · Cited by 23
Saber, A. F., Ahmed, S. K., Hussein, S. H., & Qurbani, K. (2024) · Oral Oncology Reports · doi:10.1016/j.oor.2024.100343 · Cited by 21
Sharif, L., Almabadi, R., Alahmari, A., Alqurashi, F., Alsahafi, F., Qusti, S. N., Akash, W., Mahsoon, A. N., Poudel, D. B., Sharif, K., et al. (2025) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2025.1601456 · Cited by 23
Kelly, S., Kaye, S.-A., White, K. M., & Oviedo-Trespalacios, O. (2025) · AI & SOCIETY · doi:10.1007/s00146-025-02334-6 · Cited by 17
Jiang, J., & Yang, Y. (2025) · BMC Psychology · doi:10.1186/s40359-025-02640-0 · Cited by 17
Machine learning-based predictive modelling of mental health in Rwandan Youth
Ndikumana, F., Izabayo, J., Kalisa, J., Nemerimana, M., Nyabyenda, E. C., Sylvain, M. H., Komezusenge, I., Uwase, M., Ndagijimana, S., Twizere, C., et al. (2025) · Scientific Reports · doi:10.1038/s41598-025-00519-z · Cited by 21
AI and IoT in Mental Health Care
Thirupathi, L., Kaashipaka, V., Dhanaraju, M., & Katakam, V. (2024) · Advances in medical technologies and clinical practice book series · doi:10.4018/979-8-3693-8990-4.ch012 · Cited by 16
Metadata
- Authors
- D’Alfonso, S.
- Affiliations
- The University of Melbourne (AU)
- Corresponding author
- D’Alfonso, Simon
- ORCID
- D’Alfonso, Simon
- Venue
- Current Opinion in Psychology
- Publisher
- Elsevier BV
- Published
- 2020-12
- Volume
- 36
- Pages
- 112-117
- ISSN
- 2352-250X (ISSN-L)
- OpenAlex
- W3033626851
- Semantic Scholar
- 56db71460c2742ae968f5030a318c156f9979b14
- Cited by
- 408
- References
- 53
- Citations by year
- 2026: 84 · 2025: 133 · 2024: 85 · 2023: 56 · 2022: 27 · 2021: 16 · 2020: 7
- FWCI
- 4.27
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Current Opinion in Psychology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Psychology › Social Psychology › Mental Health via Writing
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Physical Sciences › Computer Science › Artificial Intelligence › Emotion and Mood Recognition
- Keywords
- artificial intelligence in mental health, machine learning, digital mental health interventions, mobile application, online intervention, mental health prediction, mental health detection, social media data, natural language processing, chatbots, therapeutic chatbots
- MeSH terms
- Machine Learning, Artificial Intelligence, Mental Disorders, Communication, Humans, Mental Health
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review