The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Technology and mental health: The role of artificial intelligence
Open accessOverview
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
“The application of conversational agents in mental health is varied and includes diagnostic tools, symptom monitoring, and treatment or intervention [16].”
From Conversational agents in the treatment of mental health problems: mixed-method systematic review (2019) · cites this paper as [16]
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 2×
“Kirkpatrick et al. found that one such chatbot, named ‘ Woebot ’ , decreased both depression and anxiety in college students over a 2 week course [8].”
Clinically applicable deep learning for diagnosis and referral in retinal disease
De Fauw, J., Ledsam, J. R., Romera-Paredes, B., Nikolov, S., Tomasev, N., Blackwell, S., Askham, H., Glorot, X., O’Donoghue, B., Visentin, D., et al. (2018) · Nature Medicine · doi:10.1038/s41591-018-0107-6 · Cited by 2,639
Prediction of psychosis across protocols and risk cohorts using automated language analysis
Corcoran, C. M., Carrillo, F., Slezak, D. F., Bedi, G., Klim, C. C., Javitt, D. C., Bearden, C. E., & Cecchi, G. (2018) · World Psychiatry · doi:10.1002/wps.20491 · Cited by 381
Sano, A., Taylor, S., McHill, A. W., Phillips, A. J., Barger, L. K., Klerman, E., & Picard, R. (2018) · Journal of Medical Internet Research · doi:10.2196/jmir.9410 · Cited by 333 · cited 1×
“In a group of 251 college students, Sano et al. found skin conductance and temperature to have 78% accuracy for classifying students into high/low stress groups and 86% accuracy for classifying high/low mental health groups [6].”
BackgroundPlace, S., Blanch-Hartigan, D., Rubin, C., Gorrostieta, C., Mead, C., Kane, J., Marx, B. P., Feast, J., Deckersbach, T., Pentland, A. “., et al. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.6678 · Cited by 125
Glenn, T., & Monteith, S. (2014) · Current Psychiatry Reports · doi:10.1007/s11920-014-0523-3 · Cited by 104
Stentzel, U., van den Berg, N., Schulze, L. N., Schwaneberg, T., Radicke, F., Langosch, J. M., Freyberger, H. J., Hoffmann, W. U., & Grabe, H. J. (2018) · BMC Psychiatry · doi:10.1186/s12888-018-1737-4 · Cited by 91
Hamamura, T., Suganuma, S., Ueda, M., Mearns, J., & Shimoyama, H. (2018) · JMIR Mental Health · doi:10.2196/mental.8984 · Cited by 27
Automatic Detection of ADHD and ASD from Expressive Behaviour in RGBD DataPreprint
Jaiswal, S., Valstar, M., Gillott, A., & Daley, D. (2016) · arXiv (Cornell University) · doi:10.48550/arxiv.1612.02374 · Cited by 1
Cited by
Sorted by citations
Items 101–129 of 129
Insight of Artificial Intelligence Application in Healthcare
Kuang, C. (2019) · International Journal of Sciences · doi:10.18483/ijsci.2157 · Cited by 1
Artificial Intelligence and Psychosocial Support During the COVID-19 Outbreak
Dhaka, P. (2020) · Studies in big data · doi:10.1007/978-3-030-55258-9_13
Applied Intelligence for Mental Health Detection
Desai, K. P., Shah, M. A., Lapasia, M. C., Patil, S., & Pathak, S. P. (2021) · Advances in healthcare information systems and administration book series · doi:10.4018/978-1-7998-7709-7.ch005
Medical Aspects and Mental Health Challenges During COVID-19 Pandemic
Parija, S. C., Sarkar, S., & Choudhury, S. (2022) · Springer eBooks · doi:10.1007/978-981-16-8263-6_14
Benefits and Challenges of Artificial Intelligence in HealthCare
Ashok, A., Johnson, M., Reshma, S., George, S. M., & Rajagopal, S. (2022) · International Journal of Engineering Technology and Management Sciences · doi:10.46647/ijetms.2022.v06i05.097
Can Digital Technologies Change Schizophrenia Care?
de Almeida, R. S., & Silva, T. A. N. (2022) · Advances in medical technologies and clinical practice book series · doi:10.4018/978-1-6684-5260-8.ch005
DDdeep: deep learning-based text analysis for depression illness detection on social media postsPreprint
Keyvanpour, M. R., Mehrmolaei, S., & Gholami, F. (2022) · Research Square · doi:10.21203/rs.3.rs-2313393/v1
Petrović, S. A., & Marić, N. P. (2022) · Medicinska istrazivanja · doi:10.5937/medi55-37718 · Cited by 1
Could Robots Empatize? A Review on The Employment of Social Robots in Mental Healthcare
GÜLTEKİN, M. (2022) · Türk Psikolojik Danışma ve Rehberlik Dergisi · doi:10.17066/tpdrd.1225040
Levy, L. S., & Lowe, K. B. (2023) · Elsevier eBooks · doi:10.1016/b978-0-323-91497-0.00155-7
Das, S., Lomax, S., & Gerk, A. (2023) · Elsevier eBooks · doi:10.1016/b978-0-323-90531-2.00004-7
Decoding Humans' and Virtual Agents' Emotional Expressions
Amorese, T., Cordasco, G., Cuciniello, M., Shevaleva, O., Marrone, S., Vogel, C. M., & Esposito, A. A. (2023) · doi:10.1002/9781119863663.ch20
Evaluating the Depression Level Based on Facial Image Analyzing and Patient Voice
Ramos-Cuadros, A., Palomino-Santillan, L., & Ugarte, W. (2023) · Communications in computer and information science · doi:10.1007/978-3-031-37496-8_3
Artificial Intelligence in Advancing Mental Health Support Systems: Challenges and ProspectsPreprint
Sakib, S. M. N. (2023) · doi:10.31235/osf.io/dt7wz
Vyas, S., & Kumari, A. (2024) · Lecture notes in electrical engineering · doi:10.1007/978-981-99-9554-7_6
Aich, A., & Banerjee, K. (2024) · BENTHAM SCIENCE PUBLISHERS eBooks · doi:10.2174/9789815223255124010011
Artificial Intelligence in Advancing Mental Health Support Systems
Bhardwaj, B., Sharma, P., Bag, A., & Singh, T. (2024) · Advances in healthcare information systems and administration book series · doi:10.4018/979-8-3693-4402-6.ch012
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
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
Mental Health Analysis with Artificial Intelligence
Verma, S., Sharma, S., & Arora, D. P. (2025) · International Journal of Scientific Research in Science and Technology · doi:10.32628/ijsrst25123109
Ethics in AI-Based Mental Health Care
Halder, S., Samajdar, S., & Basak, S. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-0467-0.ch008
Teixeira, A. R., & Lopes, C. T. (2025) · Lecture notes in networks and systems · doi:10.1007/978-3-032-01130-5_11
Bhusal, J. (2025) · Australian Social Work · doi:10.1080/0312407x.2025.2579913
AI Technologies Driving Wellness Transformation
Majumder, S., & Dey, N. (2025) · Studies in computational intelligence · doi:10.1007/978-3-032-15735-5_3
Establishing ethical design principles for ‘Humanised’ generative AI workplace coaches
Passmore, J., Olafsson, B., Rasool, J., & Wilson, T. A. (2025) · The Coaching Psychologist · doi:10.53841/bpstcp.2025.21.1.48
Artificial intelligence and mental health: Opportunities and challenges
Stankovska, G., & Ahmeti, A. (2025) · Przegląd Krytyczny · doi:10.14746/pk.2025.7.2.1
Artificial Intelligence Towards Health Care and Its Role in Diagnostics and Treatment
Sharf, Y., Sharf, R., & Khan, G. (2026) · Advances in computational intelligence and robotics book series · doi:10.4018/407371
Assessing Professional Readiness and Ethical Challenges for AI Integration in Mental Health Services
Chakraborthy, M., & Memon, H. (2026) · Springer eBooks · doi:10.1007/978-981-96-9650-5_27
MIND EASE+: AI based Mental Health Support System
Sivabalan, K. N., Sajin, S., P, S. S., Vasanth Kumar, K., & Vignesh, S. (2026) · International Conference on Smart Electronic Devices and Intelligent Systems (ICSEDIS) · doi:10.1109/icsedis68157.2026.11517969
Metadata
- Authors
- Lovejoy, C. A.
- Affiliations
- South West London and St George's Mental Health NHS Trust (GB)
- Corresponding author
- Lovejoy, Christopher A.
- Venue
- European Psychiatry
- Publisher
- Cambridge University Press (CUP)
- Published
- 2019-01
- Volume
- 55
- Pages
- 1-3
- ISSN
- 0924-9338 (ISSN-L)
- 1778-3585
- OpenAlex
- W2898390306
- Cited by
- 129
- References
- 9
- Citations by year
- 2026: 5 · 2025: 22 · 2024: 26 · 2023: 24 · 2022: 23 · 2021: 16 · 2020: 9 · 2019: 4
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- European Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
- Keywords
- artificial intelligence, mental health, technology and mental health, digital 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
