The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Artificial Intelligence and Chatbots in Psychiatry
Open accessAbstract
The utilization of artificial intelligence (AI) in psychiatry has risen over the past several years to meet the growing need for improved access to mental health solutions. Additionally, shortages of mental health providers during the COVID-19 pandemic have continued to exacerbate the burden of mental illness worldwide. AI applications already in existence include those enabled to assist with psychiatric diagnoses, symptom tracking, disease course prediction, and psychoeducation. Modalities of AI mental health care delivery include availability through the internet, smartphone applications, and digital gaming. Here we review emerging AI-based interventions in the form of chat and therapy bots, specifically conversational applications that teach the user emotional coping mechanisms and provide support for people with communication difficulties, computer generated images of faces that form the basis of avatar therapy, and intelligent animal-like robots with new advances in digital psychiatry. We discuss the implications of incorporating AI chatbots into clinical practice and offer perspectives on how these AI-based interventions will further impact the field of psychiatry.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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
“There is initial evidence that such chatbots may be effective in reducing depressive and anxiety symptoms, as well as stress [33-36].”
From The Opportunities and Risks of Large Language Models in Mental Health (2024) · cites this paper as [35]
In the citing paper
“Overall, evidence suggests that AI chatbots may be effective in alleviating symptoms of depression, anxiety, and stress [45] [46] [47] [48] [49] [50] [51].”
From "I tell him everything that I do": An investigation of privacy and safety implications of AI companion usage (2025) · cites this paper as [47]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Fitzpatrick, K. K., Darcy, A., & Vierhile, M. (2017) · JMIR Mental Health · doi:10.2196/mental.7785 · Cited by 2,730 · cited 1×
“The Woebot group reported a significant decrease in depression compared to the e-book group [9].”
ResultFiske, A., Henningsen, P., & Buyx, A. (2019) · Journal of Medical Internet Research · doi:10.2196/13216 · Cited by 857
Fulmer, R., Joerin, A., Gentile, B., Lakerink, L., & Rauws, M. (2018) · doi:10.2196/preprints.9782 · Cited by 715
Vieira, S., Pinaya, W. H. L., & Mechelli, A. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2017.01.002 · Cited by 682
Colby, K. M., Weber, S., & Hilf, F. D. (1971) · Artificial Intelligence · doi:10.1016/0004-3702(71)90002-6 · Cited by 317
The computational therapeutic: exploring Weizenbaum’s ELIZA as a history of the present
Bassett, C. (2018) · AI & Society · doi:10.1007/s00146-018-0825-9 · Cited by 114
A Roadmap for the Development of Applied Computational Psychiatry
Paulus, M. P., Huys, Q. J. M., & Maia, T. V. (2016) · Biological Psychiatry Cognitive Neuroscience and Neuroimaging · doi:10.1016/j.bpsc.2016.05.001 · Cited by 106
Ruggiano, N., Brown, E. L., Roberts, L., Framil Suarez, C. V., Luo, Y., Hao, Z., & Hristidis, V. (2021) · Journal of Medical Internet Research · doi:10.2196/25006 · Cited by 100 · cited 1×
“Fortunately, cloud-based web services such as Amazon Web Service (AWS) have recently started to offer “HIPAA- compliant” connections [16].”
BackgroundDigital Gaming Interventions in Psychiatry: Evidence, Applications and Challenges
Vajawat, B., Varshney, P., & Banerjee, D. (2020) · Psychiatry Research · doi:10.1016/j.psychres.2020.113585 · Cited by 73
The Future of Digital Psychiatry
Hariman, K. W., Ventriglio, A., & Bhugra, D. (2019) · Current Psychiatry Reports · doi:10.1007/s11920-019-1074-4 · Cited by 64
Research works printed but not linked: 1
- Nasrallah HA, Kalanderian H. Artificial Intelligence in Psychiatry: Potential Uses of Machine Learning Include Predicting the Risk of Suicide, Psychosis. Curr Psychiatry. 2019;18.8:33.
Cited by
Sorted by citations
Items 201–242 of 242
Mental Health and the Role of New Communication Technologies
Orsolini, L., Longo, G., & Volpe, U. (2024) · Sustainable development goals series · doi:10.1007/978-3-031-70165-8_5 · Cited by 2
Inteligenţa artificială în neuroştiinţe şi în sănătatea mintală
Alexinschi, O., & Siriţeanu, A. (2024) · Psihiatru ro · doi:10.26416/psih.79.4.2024.10268
Marco, E. D., Virga, M., Torresi, M., Catellani, S., Pingani, L., & Ferrazzi, G. (2024) · RIVISTA SPERIMENTALE DI FRENIATRIA · doi:10.3280/rsf2024-003004
Réalité virtuelle, intelligence artificielle et métaverses en santé mentale
Malbos, É. (2025) · Soins Cadres · doi:10.1016/j.scad.2024.12.009
Reclik, M., Lubecka, E., Kwaśnica, B., Kożuch, A., Łosiewicz, A., & Krysta, K. (2025) · Journal of Technology in Behavioral Science · doi:10.1007/s41347-025-00506-1
Digital Maturity and AI: Ethical Considerations for Hospital Management
Buzila, E., & Rodríguez, F. G. (2025) · Springer eBooks · doi:10.1007/978-3-031-80704-6_19
Current and Emerging Uses of Generative AI for Clinical Care, Administration, and Research
Adirim, T. A. (2025) · Springer eBooks · doi:10.1007/978-3-031-83526-1_6
Addressing the Emotional and Ethical Risks of Using AI Chatbots in Psychotherapy
Mughal, A. S., Jabeen, A., Fatima, A., & Zahoor, H. S. (2025) · INNOVAPATH · doi:10.63501/29erxk86
El cerebro social como base de la inteligencia artificial
Guzmán-Sandoval, V. M., Delgado‐Enciso, I., Santana-Mancilla, P. C., Cervantes-Kardasch, V. H., Fajardo-Flores, S. B., & Rodriguez-Sanchez, I. P. (2025) · Biología y Sociedad · doi:10.29105/bys8.16-198 · Cited by 1
Chatbots in Mental Healthcare: Developments and Challenges
Shi, Q. (2025) · IEEE China Conference on System Simulation Technology and its Applications (CCSSTA) · doi:10.1109/ieeeconf65522.2025.11137008 · Cited by 1
Moodulator: An Integrated IoT and Chatbot Solution for Stress Management
Rajesh, M., Humam, A. N., Karanavar, A. K., Ahammed, S., Jose, J., & Haneefa, N. K. (2025) · International Conference on Networks & Advances in Computational Technologies (NetACT) · doi:10.1109/netact65906.2025.11188315
Mo, W., Singh, A., Ayobi, A., & Holloway, C. (2025) · International ACM SIGACCESS Conference on Computers and Accessibility · doi:10.1145/3663547.3746340 · Cited by 1
Psychopolitik und ‚mental health apps‘
Wessely, S.-T. (2025) · Psychotherapie Forum · doi:10.1007/s00729-025-00295-1
Artificial Intelligence in Healthcare in the UAE
Shaikh, K., & Vivek, S. (2025) · Springer eBooks · doi:10.1007/978-981-96-0523-1_49
Ethical challenges of artificial intelligence (AI) in medicine. Analysis on selected examples
Kosiba, B., Brzozowska, A., Lipińska, M., & Konieczny, M. (2025) · Journal of Modern Science · doi:10.13166/jms/209303
Psychiatry and innovative technologies
Latas, M. B. (2024) · Engrami · doi:10.5937/engrami46-52930
Tantray, J., Tantray, M. A., Roy, R., Nikumbh, P., & Prajapati, B. G. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-43823-3.00019-4
Alotaibi, A., & Sas, C. (2026) · JMIR Mental Health · doi:10.2196/91884
AI in School Health: Is It Appropriate for Mental Health Help?
Pontz, M. M., & Helbing, M.-L. C. (2026) · NASN School Nurse · doi:10.1177/1942602x261423916
Proposta per un inconscio collettivo artificiale
Gramantieri, R. (2026) · STUDI JUNGHIANI · doi:10.3280/jun62-2025oa20952
Zaid, R., Assi, A. U. A., Baradeiya, T., & Amer, F. (2026) · Research Square · doi:10.21203/rs.3.rs-9223768/v1
Ravikumar, R. N., & Aarthi, S. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-5906-9.ch007
Anuradha, T., & Kumar, M. P. (2026) · AIP conference proceedings · doi:10.1063/5.0315040
Sanna, L., Bolpagni, M., Fietta, V., Carli, S. D., Franzin, M., Gavioli, G., Gios, L., Pardini, S., Nicoletti, A. E., Rizzi, S., et al. (2026) · Communications in computer and information science · doi:10.1007/978-3-032-16708-8_38
Lebovic, A., Schaffer, A., Choo, C., Nuñez, J.-J., Sinyor, M., Mitchell, R. H. B., & Steinberg, R. J. (2026) · doi:10.2196/preprints.99606
Solikhah, E. W., & Adhilla, F. (2026) · Studies in systems, decision and control · doi:10.1007/978-3-032-13119-5_24
An Application-Oriented Survey of Digital Solutions in Mental Healthcare
Kertész, G., Pintér, Á., Bringye, Z., Gáspár, B., Egres, K., van Elst, L. T., Pirker, J., & Möller, K. (2026) · IEEE International Conference on Computational Cybernetics (ICCC) · doi:10.1109/iccc68994.2026.11511591
Use and Perception of AI for Psychological Self-Help Among Medical Students in Morocco
Moumni, H., & Elghazouani, F. (2026) · Lecture notes in networks and systems · doi:10.1007/978-3-032-18894-6_2
Shekhar, A., & Mitonga-Monga, J. (2026) · Frontiers in Digital Health · doi:10.3389/fdgth.2026.1851632
Kim, O., & Noh, G. Y. (2026) · Behaviour and Information Technology · doi:10.1080/0144929x.2026.2682278
A Checklist for Trustworthy, Safe, and User-Friendly Mental Health Chatbots
Haran, S., Thatikonda, S., Yoo, D. W., & Saha, K. (2026) · Lecture notes in computer science · doi:10.1007/978-3-032-30846-7_29
Corpus Generation for Emotion Classification in Psychotherapy Using Large Language Models
Desot, T., BashariRad, B., Netten, N., & Muijs, R. (2026) · Lecture notes in networks and systems · doi:10.1007/978-3-032-20897-2_17
Ratul, M. A. I., Haque, F., Saha, P., Noor, J., & Haque, S. M. T. (2026) · ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies (COMPASS) · doi:10.1145/3811242.3819097
AI IN PSYCHIATRIC DIAGNOSTICS – A REVIEW
Rybicki, W., Dutczak, R., Sobieska, A., Mularczyk, P., Jaguszewska, J., Górska, W., Okoń, M., Gawlik, A., Korpacka, A., Owczarek-Danowska, I. M., et al. (2026) · International Journal of Innovative Technologies in Social Science · doi:10.31435/ijitss.3(51).2026.6494
I Am Everything They Say I Am Not
(2026) · Emerald Group Publishing Limited eBooks · doi:10.1108/978-1-80686-777-620261014
Rehman, A. U., Alshammari, M. M., Alharbi, F. S., Ammar, O. H., & Al-smeiat, M. (2026) · Journal of Intellectual Capital · doi:10.1108/jic-04-2026-0228
Madiba, M., Khan, F., & Kayser, N. (2026) · Emerald Group Publishing Limited eBooks · doi:10.1108/978-1-80686-777-620261006
Tieu, K. D. B., Agyapong-Opoku, F., & Agyapong, B. (2026) · Frontiers in Digital Health · doi:10.3389/fdgth.2026.1789599
Predicting Symptom Change in Mental Health Chatbot Interventions: A Meta-Analysis
Saucier, C. J., Li, H., Calabrese, C. R., Baker, A. M., & Park, J. (2026) · Health Communication · doi:10.1080/10410236.2026.2734165
Balancing Innovation and Humanity: Advanced Practice Nurses Harnessing AI in Mental Health Care
Henry-Okafor, Q., Schroer, M. E., & Russell, R. G. (2026) · Journal of the American Psychiatric Nurses Association · doi:10.1177/10783903261499687
The opportunities and risks of large language models in mental health
Lawrence, H. R., Schneider, R. A., Rubin, S. B., Mataric, M. J., McDuff, D. J., & Bell, M. J. (2024) · arXiv · doi:10.48550/arxiv.2403.14814
Metadata
- Authors
- Pham, K. T., Nabizadeh, A., & Selek, S.
- Affiliations
- The University of Texas Health Science Center at Houston (US)
- Corresponding author
- Pham, Kay T.
- Venue
- Psychiatric Quarterly
- Published
- 2022-02-25
- Volume
- 93
- Issue
- 1
- Pages
- 249-253
- ISSN
- 0033-2720 (ISSN-L)
- 1573-6709
- PMC
- PMC8873348
- OpenAlex
- W4214606152
- Cited by
- 241
- References
- 15
- Citations by year
- 2026: 39 · 2025: 75 · 2024: 71 · 2023: 45 · 2022: 11
- FWCI
- 44.60
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Psychiatric Quarterly (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Digital Commons-TMC (Texas Medical Center) (submittedVersion)
- Topics
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Keywords
- artificial intelligence in psychiatry, chatbots, digital mental health, AVATAR therapy, emotion regulation, symptom monitoring, psychiatric diagnosis, psychoeducation, access to mental health care, mental health workforce shortage, COVID-19 pandemic, clinical implementation of AI
- MeSH terms
- COVID-19, Artificial Intelligence, Humans, Mental Health, Psychiatry, Pandemics
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