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
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“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]
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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
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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
Deep learning in mental health outcome research: a scoping review
Su, C., Xu, Z., Pathak, J., & Wang, F. (2020) · Translational Psychiatry · doi:10.1038/s41398-020-0780-3 · Cited by 368
Mental-LLM: Leveraging Large Language Models for Mental Health Prediction via Online Text Data
Xu, X., Yao, B., Dong, Y., Gabriel, S., Yu, H., Hendler, J., Ghassemi, M., Dey, A. K., & Wang, D. (2024) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies · doi:10.1145/3643540 · Cited by 278
Conversational agents in the treatment of mental health problems: mixed-method systematic review
Gaffney, H., Mansell, W., & Tai, S. (2019) · JMIR Mental Health · doi:10.2196/14166 · Cited by 275
Artificial intelligence in positive mental health: a narrative review
Thakkar, A., Gupta, A., & Sousa, A. D. (2024) · Frontiers in Digital Health · doi:10.3389/fdgth.2024.1280235 · Cited by 329
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
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