This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (1841) Chatbots and Conversational Agents (295) Depression and Mood Disorders; Suicide Prevention (1168)

Published on in Vol 4, No 11 (2020): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17065, first published .
Artificial Intelligence Chatbot for Depression: Descriptive Study of Usage

Artificial Intelligence Chatbot for Depression: Descriptive Study of Usage

Artificial Intelligence Chatbot for Depression: Descriptive Study of Usage

Authors of this article:

Gilly Dosovitsky 1 Author Orcid Image ;   Blanca S Pineda 1 Author Orcid Image ;   Nicholas C Jacobson 2 Author Orcid Image ;   Cyrus Chang 1 Author Orcid Image ;   Eduardo L Bunge 1 Author Orcid Image
Article Authors Cited by (39) Tweetations (5) Metrics

Journals

  1. Muñoz R, Pineda B, Barrera A, Bunge E, Leykin Y. Digital Tools for Prevention and Treatment of Depression: Lessons from the Institute for International Internet Interventions for Health. Clínica y Salud 2021;32(1):37 View
  2. Dosovitsky G, Kim E, Bunge E. Psychometric Properties of a Chatbot Version of the PHQ-9 With Adults and Older Adults. Frontiers in Digital Health 2021;3 View
  3. Klos M, Escoredo M, Joerin A, Lemos V, Rauws M, Bunge E. Artificial Intelligence–Based Chatbot for Anxiety and Depression in University Students: Pilot Randomized Controlled Trial. JMIR Formative Research 2021;5(8):e20678 View
  4. Booth F, Potts C, Bond R, Mulvenna M, Kostenius C, Dhanapala I, Vakaloudis A, Cahill B, Kuosmanen L, Ennis E. A Mental Health and Well-Being Chatbot: User Event Log Analysis. JMIR mHealth and uHealth 2023;11:e43052 View
  5. Dosovitsky G, Bunge E. Bonding With Bot: User Feedback on a Chatbot for Social Isolation. Frontiers in Digital Health 2021;3 View
  6. Martinengo L, Lum E, Car J. Evaluation of chatbot-delivered interventions for self-management of depression: Content analysis. Journal of Affective Disorders 2022;319:598 View
  7. Santa-Cruz J, Moran L, Tovar M, Peinado J, Cutipe Y, Ramos L, Astupillo A, Rosler M, Raviola G, Lecca L, Smith S, Contreras C. Mobilizing digital technology to implement a population-based psychological support response during the COVID-19 pandemic in Lima, Peru. Global Mental Health 2022;9:355 View
  8. Entenberg G, Dosovitsky G, Aghakhani S, Mostovoy K, Carre N, Marshall Z, Benfica D, Mizrahi S, Testerman A, Rousseau A, Lin G, Bunge E. User experience with a parenting chatbot micro intervention. Frontiers in Digital Health 2023;4 View
  9. Entenberg G, Areas M, Roussos A, Maglio A, Thrall J, Escoredo M, Bunge E. Using an Artificial Intelligence Based Chatbot to Provide Parent Training: Results from a Feasibility Study. Social Sciences 2021;10(11):426 View
  10. Milne-Ives M, Selby E, Inkster B, Lam C, Meinert E, Narasimhan P. Artificial intelligence and machine learning in mobile apps for mental health: A scoping review. PLOS Digital Health 2022;1(8):e0000079 View
  11. Chan W, Fitzsimmons-Craft E, Smith A, Firebaugh M, Fowler L, DePietro B, Topooco N, Wilfley D, Taylor C, Jacobson N. The Challenges in Designing a Prevention Chatbot for Eating Disorders: Observational Study. JMIR Formative Research 2022;6(1):e28003 View
  12. Chang Y, Hsing Y. Emotion-infused deep neural network for emotionally resonant conversation. Applied Soft Computing 2021;113:107861 View
  13. Moulya S, Pragathi T. Mental Health Assist and Diagnosis Conversational Interface using Logistic Regression Model for Emotion and Sentiment Analysis. Journal of Physics: Conference Series 2022;2161(1):012039 View
  14. Luca S, Clausen M, Shaw A, Lee W, Krishnapillai S, Adi-Wauran E, Faghfoury H, Costain G, Jobling R, Aronson M, Liston E, Silver J, Shuman C, Chad L, Hayeems R, Bombard Y, Bernier F, Brudno M, Carroll J, Cohn R, Dhalla I, Friedman J, Hewson S, Jamieson T, Kodida R, Laberge A, Lerner-Ellis J, Mamdani M, Marshall C, Osmond M, Pham Q, Reble E, Rudzicz F, Seto E, Shastri-Estrada S, Smith M, Thorpe K, Ungar W. Finding the sweet spot: a qualitative study exploring patients’ acceptability of chatbots in genetic service delivery. Human Genetics 2023;142(3):321 View
  15. Wilson L, Marasoiu M. The Development and Use of Chatbots in Public Health: Scoping Review. JMIR Human Factors 2022;9(4):e35882 View
  16. Liu L, Duffy V. Exploring the Future Development of Artificial Intelligence (AI) Applications in Chatbots: A Bibliometric Analysis. International Journal of Social Robotics 2023;15(5):703 View
  17. Levy J, Lu Y, Montivero M, Ramwala O, McFadden J, Miles C, Diamond A, Reddy R, Reddy R, Hudson T, Azher Z, Pamal A, Gabbita S, Cronin T, Ould Ismail A, Goel T, Jacob S, Suvarna A, Ratna S, Zavras J, Vaickus L. Artificial Intelligence, Bioinformatics, and Pathology. Advances in Molecular Pathology 2022;5(1):e1 View
  18. Martin R, Richmond S. Conversational agents for Children's mental health and mental disorders: A scoping review. Computers in Human Behavior: Artificial Humans 2023;1(2):100028 View
  19. Escobar-Viera C, Porta G, Coulter R, Martina J, Goldbach J, Rollman B. A chatbot-delivered intervention for optimizing social media use and reducing perceived isolation among rural-living LGBTQ+ youth: Development, acceptability, usability, satisfaction, and utility. Internet Interventions 2023;34:100668 View
  20. 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
  21. Chou Y, Lin C, Lee S, Chang Chien Y, Cheng L. Potential Mobile Health Applications for Improving the Mental Health of the Elderly: A Systematic Review. Clinical Interventions in Aging 2023;Volume 18:1523 View
  22. Maurya R, DeDiego A. Artificial intelligence integration in counsellor education and supervision: A roadmap for future directions and research inquiries. Counselling and Psychotherapy Research 2023 View

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