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
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
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
Benefits and Risks of AI in Health Care: Narrative Review
Chustecki, M. (2024) · Interactive Journal of Medical Research · doi:10.2196/53616 · Cited by 208
“Recent advancements in AI have opened up new perspectives on the subject by enabling technology to infer emotional meaning from more data sources [30].”
Artificial Intelligence for Chatbots in Mental Health: Opportunities and Challenges
Denecke, K., Abd-Alrazaq, A., & Househ, M. (2021) · Lecture Notes in Bioengineering · doi:10.1007/978-3-030-67303-1_10 · Cited by 177
Artificial Intelligence and Health Technology Assessment: Anticipating a New Level of Complexity
Alami, H., Lehoux, P., Auclair, Y., de Guise, M., Gagnon, M., Shaw, J., Roy, D. A., Fleet, R. P., Ahmed, M. A. A., & Fortin, J. (2020) · Journal of Medical Internet Research · doi:10.2196/17707 · Cited by 197
Advances in Sentiment Analysis - Techniques, Applications, and Challenges
Li, J. (2023) · Artificial intelligence · doi:10.5772/intechopen.111293 · Cited by 140
Health Care Chatbots Are Here to Help
Bates, M. (2019) · IEEE Pulse · doi:10.1109/mpuls.2019.2911816 · Cited by 98
Reimagining 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
COVID-19 Pandemic: A Serious Threat for Public Mental Health Globally.
Anjum, S., Ullah, R., Rana, M. S., Khan, H., Memon, F. S., Ahmed, Y., Jabeen, S., & Faryal, R. (2020) · Psychiatria Danubina · doi:10.24869/psyd.2020.245 · Cited by 81
What Is the Current and Future Status of Digital Mental Health Interventions?
Baños, R. M., Herrero, R., & Vara, M. D. (2022) · The Spanish Journal of Psychology · doi:10.1017/sjp.2022.2 · Cited by 82
An Overview of Tools and Technologies for Anxiety and Depression Management Using AI
Pavlopoulos, A., Rachiotis, T., & Maglogiannis, I. G. (2024) · Applied Sciences · doi:10.3390/app14199068 · Cited by 93
Zürcher, S. J., Kerksieck, P., Adamus, C., Burr, C., Lehmann, A. I., Huber, F. K., & Richter, D. (2020) · Frontiers in Public Health · doi:10.3389/fpubh.2020.560389 · Cited by 88
Nashwan, A. J., Gharib, S., Alhadidi, M. M. B., El‐Ashry, A. M., Alamgir, A., Al-Hassan, M., Khedr, M. A., Dawood, S. S., & Abufarsakh, B. (2023) · Issues in Mental Health Nursing · doi:10.1080/01612840.2023.2263579 · Cited by 87
Mende, M., Scott, M. L., Ubal, V. O., Hassler, C. M. K., Harmeling, C. M., & Palmatier, R. W. (2023) · Journal of Service Research · doi:10.1177/10946705231188676 · Cited by 94
Machine Learning for Child and Adolescent Health: A Systematic Review
Hoodbhoy, Z. A., Jeelani, S. M., Aziz, A., Habib, M. I., Iqbal, B., Akmal, W., Siddiqui, K., Hasan, B. S., Leeflang, M., & Das, J. K. (2020) · PEDIATRICS · doi:10.1542/peds.2020-011833 · Cited by 61
AI enabled suicide prediction tools: a qualitative narrative review
D’Hotman, D., & Loh, E. (2020) · BMJ Health & Care Informatics · doi:10.1136/bmjhci-2020-100175 · Cited by 68
Rogan, J., Bucci, S., & Firth, J. (2024) · JMIR Mental Health · doi:10.2196/49577 · Cited by 69
Assessing the use of ChatGPT as a psychoeducational tool for mental health practice
Maurya, R. K., Montesinos, S., Bogomaz, M., & DeDiego, A. C. (2024) · Counselling and Psychotherapy Research · doi:10.1002/capr.12759 · Cited by 45
AI in Healthcare: medical and socio-economic benefits and challengesPreprint
Shaheen, M. Y. (2021) · doi:10.14293/s2199-1006.1.sor-.pprqni1.v1 · Cited by 43
Tanaka, M. (2025) · Biomedicines · doi:10.3390/biomedicines13010167 · Cited by 53
Natural Language Processing Methods and Bipolar Disorder: Scoping Review
Harvey, D., Lobban, F. A., Rayson, P., Warner, A., & Jones, S. H. (2022) · JMIR Mental Health · doi:10.2196/35928 · Cited by 47
Sikström, S., Kelmendi, B., & Persson, N. (2023) · npj Mental Health Research · doi:10.1038/s44184-023-00032-z · Cited by 46
Sharma, G., Yaffe, M. J., Ghadiri, P., Gandhi, R., Pinkham, L., Gore, G., & Abbasgholizadeh-Rahimi, S. (2025) · JMIR Mental Health · doi:10.2196/70438 · Cited by 38
Artificial intelligence in mental healthcare: an overview and future perspectives
Jin, K. W., Li, Q., Xie, Y., & Xiao, G. (2023) · British Journal of Radiology · doi:10.1259/bjr.20230213 · Cited by 33
Maharjan, R., Doherty, K., Rohani, D. A., Bækgaard, P., & Bardram, J. E. (2022) · ACM Transactions on Interactive Intelligent Systems · doi:10.1145/3484508 · Cited by 29
Hoffman, 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
The intersection of technology and mental health: enhancing access and care
Dar, M. A., Maqbool, M., Ara, I., & Zehravi, M. (2023) · International Journal of Adolescent Medicine and Health · doi:10.1515/ijamh-2023-0113 · Cited by 28
Javed, F., Gilani, S. O., Latif, S., Waris, A., Jamil, M., & Waqas, A. (2021) · Journal of Personalized Medicine · doi:10.3390/jpm11030199 · Cited by 29
A review on the efficacy of artificial intelligence for managing anxiety disorders
Das, K. P., & Gavade, P. (2024) · Frontiers in Artificial Intelligence · doi:10.3389/frai.2024.1435895 · Cited by 25
Lin, C., Lee, S., Huang, C.-M., Chen, G.-Y., Chang, W., Liu, H., Ng, S., Lee, T. M. C., & Wu, S. (2022) · Brain Imaging and Behavior · doi:10.1007/s11682-022-00748-0 · Cited by 23
Zürcher, S. J., Kerksieck, P., Adamus, C., Burr, C. M., Lehmann, A. I., Huber, F. K., & Richter, D. (2020) · medRxiv · doi:10.1101/2020.05.19.20103788 · Cited by 20
AI-Assisted Diagnosing, Monitoring and Treatment of Mental Disorders: A Survey
Muetunda, F., Sabry, S., Jamil, M. L., Pais, S., Dias, G. H., & Cordeiro, J. (2024) · ACM Transactions on Computing for Healthcare · doi:10.1145/3681794 · Cited by 24
Technology-Based Mental Health Interventions for Domestic Violence Victims Amid COVID-19
Su, Z., Cheshmehzangi, A., McDonnell, D., Chen, H., Aḥmad, J., Šegalo, S., & da Veiga, C. P. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19074286 · Cited by 21
An Introduction to Artificial Intelligence in Developmental and Behavioral Pediatrics
Aylward, B. S., Abbas, H., Taraman, S., Salomon, C., Gal‐Szabo, D. E., Kraft, C. A., Ehwerhemuepha, L., Chang, A. C., & Wall, D. P. (2022) · Journal of Developmental & Behavioral Pediatrics · doi:10.1097/dbp.0000000000001149 · Cited by 21
Esposito, A. A., Amorese, T., Cuciniello, M., Esposito, A. M., & Cordasco, G. (2023) · Frontiers in Computer Science · doi:10.3389/fcomp.2023.1138501 · Cited by 17
Singh, V., Sarkar, S., Gaur, V., Grover, S., & Singh, O. P. (2024) · Indian Journal of Psychiatry · doi:10.4103/indianjpsychiatry.indianjpsychiatry_926_23 · Cited by 19
Artificial Intelligence and Mental Health Issues: A Narrative Review
Salcedo, Z. B. V., Tari, I. D. A. E. P. D., Ratsameemonthon, C., & Setiyani, R. Y. (2023) · Journal of Public Health Sciences · doi:10.56741/jphs.v2i02.282 · Cited by 16
Judgmental Bot: Conversational Agents in Online Mental Health Screening
Raimi, R., Kim, A., Ayabakan, S., & Dennis, A. R. (2025) · MIS Quarterly · doi:10.25300/misq/2025/18555 · Cited by 16
Oladimeji, K. E., Nyatela, A., Gumede, S. B., Dwarka, D., & Lalla‐Edward, S. T. (2023) · New Voices in Psychology · doi:10.25159/2958-3918/14548 · Cited by 15
AI in Healthcare: medical and socio-economic benefits and challengesPreprint
Shaheen, M. Y. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3932277 · Cited by 15
Mancone, S., Diotaiuti, P., Valente, G., Corrado, S., Bellizzi, F., Vilarino, G. T., & Andrade, A. (2023) · Behavioral Sciences · doi:10.3390/bs13070550 · Cited by 14
MediBot: Healthcare Assistant on Mental Health and Well Being
Kavyashree, N., & Usha, J. (2023) · International Conference on Computation System and Information Technology for Sustainable Solutions (CSITSS) · doi:10.1109/csitss60515.2023.10334083 · Cited by 14
Adams, J. (2024) · Digital Society · doi:10.1007/s44206-024-00110-5 · Cited by 17
AI in Healthcare: medical and socio-economic benefits and challengesPreprint
Shaheen, M. Y. (2021) · doi:10.31219/osf.io/um38t · Cited by 14
Utilization and effects of security technologies in mental health: A scoping review
Anastasi, G., & Bambi, S. (2023) · International Journal of Mental Health Nursing · doi:10.1111/inm.13193 · Cited by 12
Elkhodr, M., Gide, E., & Pandey, N. (2024) · STEM Education · doi:10.3934/steme.2024025 · Cited by 13
Miao, C., Yan, B., Xu, J., Wu, Y., Shen, J., Fan, J., Wang, Y., & Li, W. T. (2023) · American Journal of Health Behavior · doi:10.5993/ajhb.47.4.13 · Cited by 11
Yeasmin, S., Semi, M. M. A., Rony, M. K. K., Das, S., Sabeena, A. A., Rahman, R., Biswas, B., Ahmed, F., & Hossain, A. (2025) · Health Science Reports · doi:10.1002/hsr2.71703 · Cited by 18
Aich, A., Quynh, A., Badal, V. D., Pinkham, A. E., Harvey, P. D., Depp, C. A., & Parde, N. (2022) · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · doi:10.18653/v1/2022.findings-emnlp.208 · Cited by 9
Major depressive disorder diagnosis based on PSD imaging of electroencephalogram EEG and AI
Mahdi, A. F., & Ahmed, A. K. (2022) · Indonesian Journal of Electrical Engineering and Computer Science · doi:10.11591/ijeecs.v28.i1.pp535-544 · Cited by 8
Yu, J., Shen, N., Conway, S., Hiebert, M., Lai-Zhao, B., McCann, M., Mehta, R., Miranda, M., Putterman, C., Santisteban, J. A., et al. (2023) · Frontiers in Health Services · doi:10.3389/frhs.2023.1198195 · Cited by 8
Application of Machine learning algorithms in diagnosis and detection of psychological disorders
Aryal, Y., Maag, A., & Gunasekera, N. (2020) · International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA) · doi:10.1109/citisia50690.2020.9371801 · Cited by 10
AR and VR and AI Allied Technologies and Depression Detection and Control Mechanism
Goyal, S., Bedi, P., & Garg, N. (2021) · EAI/Springer Innovations in Communication and Computing · doi:10.1007/978-3-030-68936-0_11 · Cited by 10
Mucić, D., Shore, J. H., Hilty, D. M., Krysta, K., & Krzystanek, M. (2021) · Current Psychiatry Reports · doi:10.1007/s11920-021-01300-5 · Cited by 8
Mental Health Prediction Using Artificial Intelligence
Deshpande, M., Mehta, P. S., Sable, N., Baraskar, U., Ingole, I., & Shinde, V. (2024) · Lecture notes in networks and systems · doi:10.1007/978-981-97-3245-6_4 · Cited by 7
Individualized Treatment Strategy for Depressive Disorder
Chen, J., & Hu, S. (2019) · Advances in experimental medicine and biology · doi:10.1007/978-981-32-9271-0_12 · Cited by 7
REDE - Detecting human emotions using CNN and RASA
Gupta, A., Raj, M. A., Singh, K., & Deshmukh, R. (2022) · International Conference for Advancement in Technology (ICONAT) · doi:10.1109/iconat53423.2022.9726090 · Cited by 7
Machine Learning Tools to Predict the Impact of Quarantine
Kaur, A., Mittal, N., Khosla, P. K., & Mittal, M. (2021) · Algorithms for intelligent systems · doi:10.1007/978-981-33-4236-1_17 · Cited by 6
Artificial Intelligence in Mental Healthcare During COVID-19 Pandemic
Kar, S. K., Kabir, R., Menon, V., Arafat, S. M. Y., Prakash, A. J., & Saxena, S. K. (2021) · Medical virology · doi:10.1007/978-981-15-7317-0_17 · Cited by 6
de Almeida, R. S., & da Silva, T. P. (2021) · Advances in psychology, mental health, and behavioral studies (APMHBS) book series · doi:10.4018/978-1-7998-8634-1.ch011 · Cited by 6
Singh, A. G., Singhavi, H. R., Sharin, F., Lakdawala, M. A., Mhatre, S., Deodhar, J. K., Chaturvedi, P., & Dikshit, R. P. (2022) · Indian Journal of Community Medicine · doi:10.4103/ijcm.ijcm_928_21 · Cited by 5
Sarkar, A., Mallik, S. S., & Roy, K. (2022) · Asia‐Pacific Journal of Management and Technology · doi:10.46977/apjmt.2022v03i02.004 · Cited by 4
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.12250405 · Cited by 5
Assessing Synthetic Voices for Mental Health Chatbots
Amorese, T., McConvey, G., Cuciniello, M., Cordasco, G., Bond, R., Mulvenna, M. D., Ennis, E., Callejas, Z., & Esposito, A. A. (2023) · Lecture notes in networks and systems · doi:10.1007/978-981-99-3043-2_6 · Cited by 5
Ganeshkumar, C., Basu, R. J., Yuvaraj, M., & David, A. (2024) · Journal of Industrial Integration and Management · doi:10.1142/s2424862224500015 · Cited by 5
Auf, H., Nygren, J., Lundgren, L. E., Petersson, L., & Svedberg, P. (2025) · Frontiers in Digital Health · doi:10.3389/fdgth.2025.1588759 · Cited by 5
UPV-Symanto at eRisk 2021: Mental Health Author Profiling for Early Risk Prediction on the Internet.
Basile, A., Chinea-Ríos, M., Uban, A. S., Müller, T., Rössler, L., Yenikent, S., Chulvi, B., Rosso, P., & Franco-Salvador, M. (2021) · RiuNet (Universitat Politècnica de València) · Cited by 4
Perspective Chapter: Embracing the Complexity of Human Emotion
Thabit, S. A. (2024) · Artificial intelligence · doi:10.5772/intechopen.112701 · Cited by 5
Forecasting the incidence frequencies of schizophrenia using deep learning
Yang, S. F., Wu, C.-H., Chuang, L., & Yang, C.-H. (2024) · Asian Journal of Psychiatry · doi:10.1016/j.ajp.2024.104205 · Cited by 4
Tejesh, S. S., Bhavana, V., & Krishnappa, H. K. (2022) · International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON) · doi:10.1109/smartgencon56628.2022.10083869 · Cited by 5
He, W., Hou, B., Demiris, G., & Shen, L. (2024) · PubMed Central · Cited by 4
Wilson, C. G., Altamirano, A. E., Hillman, T., & Tan, J. B. C. (2022) · Seminars in Fetal and Neonatal Medicine · doi:10.1016/j.siny.2022.101399 · Cited by 4
Samiun, M., Rony, M. K. K., Yeasmin, S., Manik, M. M. T. G., Debnath, A., Aziz, M. B., Tasnim, A. F., & Nilima, S. I. (2025) · Discover Public Health · doi:10.1186/s12982-025-00814-0 · Cited by 3
An Efficient KNN Algorithm for the Mental Health Performance Assessment Using K-means Clustering
Chahar, R., Dubey, A. K., & Narang, S. K. (2024) · Lecture notes in electrical engineering · doi:10.1007/978-981-99-7633-1_42 · Cited by 3
Cushnan, J., Best, P., Daele, T. V., D’Arcy, J., Cafferty, P. M., Roche, R., & Elliott, A. (2025) · Cognitive and Behavioral Practice · doi:10.1016/j.cbpra.2025.08.003 · Cited by 4
Jeličić, A., Radobuljac, M. D., Sass, L. A., & Škodlar, B. (2025) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2025.1669930 · Cited by 2
Benefits, Implications and Ethical Concerns of Machine Learning Tools Serving Mental Health Purposes
Gamboa, P., Quaresma, C., Varandas, R. S. P., & Gamboa, H. F. S. (2021) · IFIP advances in information and communication technology · doi:10.1007/978-3-030-78288-7_27 · Cited by 2
Yadav, N., Singh, C., & Srivastava, K. (2022) · Hawaii International Conference on System Sciences (HICSS) · doi:10.24251/hicss.2022.443 · Cited by 2
Exploring the Role of Artificial Intelligence in Mental Health
Muetunda, F., Jamil, M. L., Pais, S., Sabry, S., Dias, G. H., Pombo, N. G. C. C., & Cordeiro, J. (2023) · IEEE ... International Conference on Data Mining workshops · doi:10.1109/icdmw60847.2023.00166 · Cited by 2
Interventions of Bioelectronics and Biosensors on Oncology, Infectious and Neurological Diseases
Krishamoorthi, N. (2024) · Journal of Student Research · doi:10.47611/jsrhs.v13i1.5926 · Cited by 2
Veneziano, M., Cuciniello, M., Amorese, T., Cordasco, G., Vogel, C. M., & Esposito, A. A. (2024) · IEEE International Conference on Cognitive Infocommunications · doi:10.1109/coginfocom63007.2024.10894720 · Cited by 2
A Web-based Telepsychology Platform Prototype Using Cloud Computing and Deep Learning Tools
Pérez-Hernández, D., Pavón-Pulido, N., López-Riquelme, J. A., & Batlle, J. J. F. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-86230-5_8 · Cited by 2
Fergusson, M. (2022) · He Rourou · doi:10.54474/herourou.v2i1.7149 · Cited by 2
Lessons Learned or Forgotten? Future Direction of Global Digital Mental Health Care
Mucić, D., Shore, J. H., Hilty, D. M., Krzystanek, M., & Krysta, K. (2024) · Springer eBooks · doi:10.1007/978-3-031-59936-1_19 · Cited by 1
Lin, Y.-C., Chen, Y.-M., Chuang, C. F., Yuan, C. W., Bi, N., Chang, H., Huang, M., & You, C.-W. (2025) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3706599.3720128 · Cited by 1
Exploring the application of artificial intelligence in mental health through thematic analysis
Qing, H., & Zhao, C. (2025) · Mental Health and Social Inclusion · doi:10.1108/mhsi-03-2025-0097 · Cited by 1
Development and Validation of the Robot Acceptance Questionnaire (RAQ)
Amorese, T., Cuciniello, M., Greco, C., D’Iorio, A., Aiello, E. N., Poletti, B., Silani, V., Ticozzi, N., Santangelo, G., Cordasco, G., et al. (2025) · Applied Sciences · doi:10.3390/app15179281 · Cited by 1
Dritsona, A., Koutroumpa, M.-E., Sergentanis, T. Ν., & Τσίτσικα, Ά. (2025) · Advances in experimental medicine and biology · doi:10.1007/978-3-032-03394-9_45 · Cited by 3
AI in Workplace Wellness Programs
Majumder, S., & Dey, N. (2025) · Studies in computational intelligence · doi:10.1007/978-3-032-15735-5_4 · Cited by 1
AI in geriatric psychiatry: precision meets human experience
Mizuno, A. N., Erickson, Z., Jimenez, D. E., & Aizenstein, H. J. (2026) · Neuropsychopharmacology · doi:10.1038/s41386-026-02328-y · Cited by 1
Mental health in family businesses in the artificial intelligence era
Ratten, V. (2026) · Journal of Family Business Management · doi:10.1108/jfbm-05-2026-0138 · Cited by 1
Artificial intelligence and mental disorders: chicken-or-the egg issue
Ahmadi, A. A. (2023) · Journal of Biological Studies · doi:10.62400/jbs.v6i1.7751 · Cited by 1
Jitanan, M., Somanandana, V., Jitanan, S., Lalitpasan, U., & Kham-in, S. (2021) · Higher Education Studies · doi:10.5539/hes.v11n2p215 · Cited by 1
Wearable technology and artificial intelligence in psychiatric disorders
Sekhar, S. R. M., Raj, S., & Siddesh, G. M. (2022) · Elsevier eBooks · doi:10.1016/b978-0-323-85854-0.00004-6 · Cited by 1
Artificial Intelligence, Virtual Reality, and Online Games
Bauman, S. A., & Rivers, I. (2023) · Springer eBooks · doi:10.1007/978-3-031-32122-1_7 · Cited by 2
Ekellem, E. A. F. (2024) · doi:10.36227/techrxiv.170555337.72740439/v1 · Cited by 1
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