Published on in Vol 10, No 10 (2022): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/28082, first published .
Validity of Chatbot Use for Mental Health Assessment: Experimental Study

Validity of Chatbot Use for Mental Health Assessment: Experimental Study

Validity of Chatbot Use for Mental Health Assessment: Experimental Study

Journals

  1. D'Amico R, White T, Shah H, Langer D. I Asked a ChatGPT to Write an Editorial About How We Can Incorporate Chatbots Into Neurosurgical Research and Patient Care…. Neurosurgery 2023;92(4):663 View
  2. Otero-González I, Pacheco-Lorenzo M, Fernández-Iglesias M, Anido-Rifón L. Conversational agents for depression screening: A systematic review. International Journal of Medical Informatics 2024;181:105272 View
  3. Chakraborty C, Pal S, Bhattacharya M, Dash S, Lee S. Overview of Chatbots with special emphasis on artificial intelligence-enabled ChatGPT in medical science. Frontiers in Artificial Intelligence 2023;6 View
  4. Babington‐Ashaye A, de Moerloose P, Diop S, Geissbuhler A. Design, development and usability of an educational AI chatbot for People with Haemophilia in Senegal. Haemophilia 2023;29(4):1063 View
  5. Chakraborty C, Bhattacharya M, Pal S, Lee S. From machine learning to deep learning: Advances of the recent data-driven paradigm shift in medicine and healthcare. Current Research in Biotechnology 2024;7:100164 View
  6. Wong R. ChatGPT in psychiatry: promises and pitfalls. The Egyptian Journal of Neurology, Psychiatry and Neurosurgery 2024;60(1) View
  7. Boian R, Bucur A, Todea D, Luca A, Rebedea T, Podina I. A conversational agent framework for mental health screening: design, implementation, and usability. Behaviour & Information Technology 2024:1 View
  8. Jin Y, Chen L, Zhao X, Cai W. The way you assess matters: User interaction design of survey chatbots for mental health. International Journal of Human-Computer Studies 2024;189:103290 View
  9. Tsekouras D, Gutt D, Heimbach I. The robo bias in conversational reviews: How the solicitation medium anthropomorphism affects product rating valence and review helpfulness. Journal of the Academy of Marketing Science 2024;52(6):1651 View
  10. Corrivetti G, Monaco F, Vignapiano A, Marenna A, Palm K, Fernández-Arroyo S, Frigola-Capell E, Leen V, Ibarrola O, Amil B, Caruson M, Chiariotti L, Palacios-Ariza M, Hoekstra P, Chiang H, Floareș A, Fagiolini A, Fasano A. Optimizing and Predicting Antidepressant Efficacy in Patients with Major Depressive Disorder Using Multi-Omics Analysis and the Opade AI Prediction Tools. Brain Sciences 2024;14(7):658 View
  11. Sanjeewa R, Iyer R, Apputhurai P, Wickramasinghe N, Meyer D. Empathic Conversational Agent Platform Designs and Their Evaluation in the Context of Mental Health: Systematic Review. JMIR Mental Health 2024;11:e58974 View
  12. Chen P, Li Y, Zhang X, Feng X, Sun X. The acceptability and effectiveness of artificial intelligence-based chatbot for hypertensive patients in community: protocol for a mixed-methods study. BMC Public Health 2024;24(1) View
  13. Lahutina S, Frankova I, Gruen M, Vermetten E, Zohar J, Spitschan M, Bajbouj M. A digital self-help tool to promote mental well-being for Ukrainians affected by war - Assessing predictors of stress. Neuroscience Applied 2024;3:104089 View
  14. DeTore N, Balogun-Mwangi O, Eberlin E, Dokholyan K, Rizzo A, Holt D. An Artificial Intelligence-Based Virtual Human Avatar Application to Assess the Mental Health of Health Care Professionals: A Validation Study. Journal of Medical Extended Reality 2024;1(1):215 View
  15. Rządeczka M, Sterna A, Stolińska J, Kaczyńska P, Moskalewicz M. The Efficacy of Conversational Artificial Intelligence in Rectifying the Theory of Mind and Autonomy Biases: Comparative Analysis (Preprint). JMIR Mental Health 2024 View

Books/Policy Documents

  1. Taylor D, Melvin C, Aung H, Asif R. HCI for Cybersecurity, Privacy and Trust. View