Published on in Vol 5, No 4 (2018): Oct-Dec

Preprints (earlier versions) of this paper are available at, first published .
Psychiatrists' Attitudes Toward Disruptive New Technologies: Mixed-Methods Study

Psychiatrists' Attitudes Toward Disruptive New Technologies: Mixed-Methods Study

Psychiatrists' Attitudes Toward Disruptive New Technologies: Mixed-Methods Study


  1. Ferreri F, Bourla A, Peretti C, Segawa T, Jaafari N, Mouchabac S. How New Technologies Can Improve Prediction, Assessment, and Intervention in Obsessive-Compulsive Disorder (e-OCD): Review. JMIR Mental Health 2019;6(12):e11643 View
  2. Jacobson N, Weingarden H, Wilhelm S. Using Digital Phenotyping to Accurately Detect Depression Severity. Journal of Nervous & Mental Disease 2019;207(10):893 View
  3. Korth C, Fangerau H. Blood tests to diagnose schizophrenia: self-imposed limits in psychiatry. The Lancet Psychiatry 2020;7(10):911 View
  4. Jacobson N, Bentley K, Walton A, Wang S, Fortgang R, Millner A, Coombs G, Rodman A, Coppersmith D. Ethical dilemmas posed by mobile health and machine learning in psychiatry research. Bulletin of the World Health Organization 2020;98(4):270 View
  5. Bourla A, Mouchabac S, Ogorzelec L, Guinchard C, Ferreri F. Are student nurses ready for new technologies in mental health? Mixed-methods study. Nurse Education Today 2020;84:104240 View
  6. Segawa T, Baudry T, Bourla A, Blanc J, Peretti C, Mouchabac S, Ferreri F. Virtual Reality (VR) in Assessment and Treatment of Addictive Disorders: A Systematic Review. Frontiers in Neuroscience 2020;13 View
  7. Mesko B, Győrffy Z. The Rise of the Empowered Physician in the Digital Health Era: Viewpoint. Journal of Medical Internet Research 2019;21(3):e12490 View
  8. Bourla A, Chaneac E, Poulet E, Haffen E, Ogorzelec L, Guinchard C, Ferreri F, Mouchabac S. Acceptability, attitudes and knowledge towards Transcranial Magnetic Stimulation (TMS) among psychiatrists in France. L'Encéphale 2020;46(2):88 View
  9. Hübner U, Egbert N, Schulte G. Clinical Information Systems – Seen through the Ethics Lens. Yearbook of Medical Informatics 2020;29(01):104 View
  10. Wilhelm S, Weingarden H, Ladis I, Braddick V, Shin J, Jacobson N. Cognitive-Behavioral Therapy in the Digital Age: Presidential Address. Behavior Therapy 2020;51(1):1 View
  11. Potier R. The Digital Phenotyping Project: A Psychoanalytical and Network Theory Perspective. Frontiers in Psychology 2020;11 View
  12. Geyer N, Kessler F, Lengerich E. LionVu 2.0 Usability Assessment for Pennsylvania, United States. ISPRS International Journal of Geo-Information 2020;9(11):619 View
  13. Blease C, Locher C, Leon-Carlyle M, Doraiswamy M. Artificial intelligence and the future of psychiatry: Qualitative findings from a global physician survey. DIGITAL HEALTH 2020;6:205520762096835 View
  14. Mouchabac S, Adrien V, Falala-Séchet C, Bonnot O, Maatoug R, Millet B, Peretti C, Bourla A, Ferreri F. Psychiatric Advance Directives and Artificial Intelligence: A Conceptual Framework for Theoretical and Ethical Principles. Frontiers in Psychiatry 2021;11 View
  15. Mouchabac S, Leray P, Adrien V, Gollier-Briant F, Bonnot O. Prevention of Suicidal Relapses in Adolescents With a Smartphone Application: Bayesian Network Analysis of a Preclinical Trial Using In Silico Patient Simulations. Journal of Medical Internet Research 2021;23(9):e24560 View
  16. Blease C, Kharko A, Annoni M, Gaab J, Locher C. Machine Learning in Clinical Psychology and Psychotherapy Education: A Mixed Methods Pilot Survey of Postgraduate Students at a Swiss University. Frontiers in Public Health 2021;9 View
  17. Bonnot O, Adrien V, Venelle V, Bonneau D, Gollier-Briant F, Mouchabac S. Mobile App for Parental Empowerment for Caregivers of Children With Autism Spectrum Disorders: Prospective Open Trial. JMIR Mental Health 2021;8(9):e27803 View
  18. Laplace B, Calvet B, Lacroix A, Mouchabac S, Picard N, Girard M, Charles E. Acceptability of Pharmacogenetic Testing among French Psychiatrists, a National Survey. Journal of Personalized Medicine 2021;11(6):446 View
  19. Saad A, Bruno D, Camara B, D’Agostino J, Bolea-Alamanac B. Self-directed Technology-Based Therapeutic Methods for Adult Patients Receiving Mental Health Services: Systematic Review. JMIR Mental Health 2021;8(11):e27404 View
  20. Monteith S, Glenn T, Geddes J, Whybrow P, Achtyes E, Bauer M. Expectations for Artificial Intelligence (AI) in Psychiatry. Current Psychiatry Reports 2022;24(11):709 View
  21. Mouchabac S, Conejero I, Lakhlifi C, Msellek I, Malandain L, Adrien V, Ferreri F, Millet B, Bonnot O, Bourla A, Maatoug R. Improving clinical decision-making in psychiatry: implementation of digital phenotyping could mitigate the influence of patient’s and practitioner’s individual cognitive biases. Dialogues in Clinical Neuroscience 2021;23(1):52 View
  22. Sathyanarayanan A, Mueller T, Ali Moni M, Schueler K, Baune B, Lio P, Mehta D, Baune B, Dierssen M, Ebert B, Fabbri C, Fusar-Poli P, Gennarelli M, Harmer C, Howes O, Janzing J, Maron E, Minelli A, Nonell L, Pisanu C, Potier M, Rybakowski F, Serretti A, Squassina A, Stacey D, van Westrhenen R, Xicota L. Multi-omics data integration methods and their applications in psychiatric disorders. European Neuropsychopharmacology 2023;69:26 View
  23. Bougeard A, Guay Hottin1 R, Houde V, Jean T, Piront T, Potvin S, Bernard P, Tourjman V, De Benedictis L, Orban P. Le phénotypage digital pour une pratique clinique en santé mentale mieux informée. Santé mentale au Québec 2021;46(1):135 View
  24. de Angel V, Lewis S, White K, Matcham F, Hotopf M. Clinical Targets and Attitudes Toward Implementing Digital Health Tools for Remote Measurement in Treatment for Depression: Focus Groups With Patients and Clinicians. JMIR Mental Health 2022;9(8):e38934 View
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  27. Cormi C, Sanchez S, de l’Estoile V, Ollivier L, Letty A, Berrut G, Mulin E. Telepsychiatry to Provide Mental Health Support to Healthcare Professionals during the COVID-19 Crisis: A Cross-Sectional Survey among 321 Healthcare Professionals in France. International Journal of Environmental Research and Public Health 2021;18(19):10146 View
  28. Hogg H, Al-Zubaidy M, Talks J, Denniston A, Kelly C, Malawana J, Papoutsi C, Teare M, Keane P, Beyer F, Maniatopoulos G. Stakeholder Perspectives of Clinical Artificial Intelligence Implementation: Systematic Review of Qualitative Evidence. Journal of Medical Internet Research 2023;25:e39742 View
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  33. Stern E, MICOULAUD FRANCHI J, Dumas G, Moreira J, Mouchabac S, Maruani J, Philip P, Lejoyeux M, GEOFFROY P. How Can Digital Mental Health Enhance Psychiatry?. The Neuroscientist 2023;29(6):681 View
  34. Mouchabac S, Bourla A, Geoffroy P, Micoulaud-Franchi J, Misdrahi D, Petauton D, Samalin L, Conejero I, Schwan R, Bonnot O. Les applications numériques en santé mentale : état des lieux, enjeux et perspectives. Annales Médico-psychologiques, revue psychiatrique 2023 View
  35. Nogueira-Leite D, Diniz J, Cruz-Correia R. Mental Health Professionals’ Attitudes Toward Digital Mental Health Apps and Implications for Adoption in Portugal: Mixed Methods Study. JMIR Human Factors 2023;10:e45949 View
  36. Smith K, Blease C, Faurholt-Jepsen M, Firth J, Van Daele T, Moreno C, Carlbring P, Ebner-Priemer U, Koutsouleris N, Riper H, Mouchabac S, Torous J, Cipriani A. Digital mental health: challenges and next steps. BMJ Mental Health 2023;26(1):e300670 View
  37. Tang L, Li J, Fantus S. Medical artificial intelligence ethics: A systematic review of empirical studies. DIGITAL HEALTH 2023;9 View
  38. Oudin A, Maatoug R, Bourla A, Ferreri F, Bonnot O, Millet B, Schoeller F, Mouchabac S, Adrien V. Digital Phenotyping: Data-Driven Psychiatry to Redefine Mental Health. Journal of Medical Internet Research 2023;25:e44502 View
  39. Machado H, Silva S, Neiva L. Publics’ views on ethical challenges of artificial intelligence: a scoping review. AI and Ethics 2023 View
  40. Mouchabac S, Adrien V, Diot T, Renaud M, Carrié A, Bourla A, Ferreri F. Insights into medical students’ perceptions of work culture during the COVID-19 pandemic: a mixed method study. BMC Medical Education 2024;24(1) View
  41. Evans R, Bryant L, Russell G, Absolom K. Trust and acceptability of data-driven clinical recommendations in everyday practice: A scoping review. International Journal of Medical Informatics 2024;183:105342 View

Books/Policy Documents

  1. Marialuisa S, Francesco C, Roberta G, Claudia P. Artificial Intelligence, Big Data, Blockchain and 5G for the Digital Transformation of the Healthcare Industry. View