Published on in Vol 9, No 7 (2021): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27343, first published .
Ethical Development of Digital Phenotyping Tools for Mental Health Applications: Delphi Study

Ethical Development of Digital Phenotyping Tools for Mental Health Applications: Delphi Study

Ethical Development of Digital Phenotyping Tools for Mental Health Applications: Delphi Study

Journals

  1. Chia A, Zhang M. Digital phenotyping in psychiatry: A scoping review. Technology and Health Care 2022;30(6):1331 View
  2. Cho M, Martinez-Martin N. Epistemic Rights and Responsibilities of Digital Simulacra for Biomedicine. The American Journal of Bioethics 2023;23(9):43 View
  3. Winslow B, Mills E. Future of service member monitoring: the intersection of biology, wearables and artificial intelligence. BMJ Military Health 2024;170(5):412 View
  4. Pavarini G, Yosifova A, Wang K, Wilcox B, Tomat N, Lorimer J, Kariyawasam L, George L, Alí S, Singh I. Data sharing in the age of predictive psychiatry: an adolescent perspective. Evidence Based Mental Health 2022;25(2):69 View
  5. Malhi G, Bell E. Questions in Psychiatry (QuiP): Using your Apple all day, might keep the doctor away?. Bipolar Disorders 2021;23(8):838 View
  6. Queiroz G. Second Mind: Considerações Ético‐Legais sobre a Digitalização em Saúde Mental no Contexto Português. Revista Portuguesa de Psiquiatria e Saúde Mental 2022;8(3):96 View
  7. Baumeister H, Garatva P, Pryss R, Ropinski T, Montag C. Digitale Phänotypisierung in der Psychologie – ein Quantensprung in der psychologischen Forschung?. Psychologische Rundschau 2023;74(2):89 View
  8. Charron E, White A, Carlston K, Abdullah W, Baylis J, Pierce S, Businelle M, Gordon A, Krans E, Smid M, Cochran G. Prospective acceptability of digital phenotyping among pregnant and parenting people with opioid use disorder: A multisite qualitative study. Frontiers in Psychiatry 2023;14 View
  9. Shen F, Baum M, Martinez-Martin N, Miner A, Abraham M, Brownstein C, Cortez N, Evans B, Germine L, Glahn D, Grady C, Holm I, Hurley E, Kimble S, Lázaro-Muñoz G, Leary K, Marks M, Monette P, Onnela J, O’Rourke P, Rauch S, Shachar C, Sen S, Vahia I, Vassy J, Baker J, Bierer B, Silverman B. Returning Individual Research Results from Digital Phenotyping in Psychiatry. The American Journal of Bioethics 2024;24(2):69 View
  10. 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
  11. Marciano L, Vocaj E, Bekalu M, La Tona A, Rocchi G, Viswanath K. The Use of Mobile Assessments for Monitoring Mental Health in Youth: Umbrella Review. Journal of Medical Internet Research 2023;25:e45540 View
  12. 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
  13. Pizzoli S, Monzani D, Conti L, Ferraris G, Grasso R, Pravettoni G. Issues and opportunities of digital phenotyping: ecological momentary assessment and behavioral sensing in protecting the young from suicide. Frontiers in Psychology 2023;14 View
  14. Worthington M, Christie R, Masino A, Kark S. Identifying Unmet Needs in Major Depressive Disorder Using a Computer-Assisted Alternative to Conventional Thematic Analysis: Qualitative Interview Study With Psychiatrists. JMIR Formative Research 2024;8:e48894 View
  15. Tani N, Fujihara H, Ishii K, Kamakura Y, Tsunemi M, Yamaguchi C, Eguchi H, Imamura K, Kanamori S, Kojimahara N, Ebara T. What digital health technology types are used in mental health prevention and intervention? Review of systematic reviews for systematization of technologies. Journal of Occupational Health 2024;66(1) View
  16. Fuhr D, Wolf-Ostermann K, Hoel V, Zeeb H. Digitale Technologien zur Verbesserung der psychischen Gesundheit. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz 2024;67(3):332 View
  17. Bassil K. Balancing the Double-Edged Implications of AI in Psychiatric Digital Phenotyping. The American Journal of Bioethics 2024;24(2):113 View
  18. Verbeke K, Jain C, Shpendi A, Borry P. Safeguarding Users of Consumer Mental Health Apps in Research and Product Improvement Studies: an Interview Study. Neuroethics 2024;17(1) View
  19. Hurley M, Sonig A, Herrington J, Storch E, Lázaro-Muñoz G, Blumenthal-Barby J, Kostick-Quenet K. Ethical considerations for integrating multimodal computer perception and neurotechnology. Frontiers in Human Neuroscience 2024;18 View
  20. Kim S, Baek S, Cho C. Psychosocial and digital intervention for patients with schizophrenia. Journal of the Korean Medical Association 2024;67(2):103 View
  21. Pavarini G, Lyreskog D, Newby D, Lorimer J, Bennett V, Jacobs E, Winchester L, Nevado-Holgado A, Singh I. Tracing Tomorrow: young people’s preferences and values related to use of personal sensing to predict mental health, using a digital game methodology. BMJ Mental Health 2024;27(1):e300897 View
  22. Harris C, Tang Y, Birnbaum E, Cherian C, Mendhe D, Chen M. Digital Neuropsychology beyond Computerized Cognitive Assessment: Applications of Novel Digital Technologies. Archives of Clinical Neuropsychology 2024;39(3):290 View
  23. Franklin G, Stephens R, Piracha M, Tiosano S, Lehouillier F, Koppel R, Elkin P. The Sociodemographic Biases in Machine Learning Algorithms: A Biomedical Informatics Perspective. Life 2024;14(6):652 View
  24. Adams J. Examining Ethical and Social Implications of Digital Mental Health Technologies Through Expert Interviews and Sociotechnical Systems Theory. Digital Society 2024;3(2) View
  25. D’Alfonso S, Coghlan S, Schmidt S, Mangelsdorf S. Ethical Dimensions of Digital Phenotyping Within the Context of Mental Healthcare. Journal of Technology in Behavioral Science 2024;10(1):132 View
  26. Sonig A, Deeney C, Hurley M, Storch E, Herrington J, Lázaro-Muñoz G, Zampella C, Tunc B, Parish-Morris J, Blumenthal-Barby J, Kostick-Quenet K. Ethical concerns of using computer perception technologies among pediatric patients. AI and Ethics 2025;5(4):3593 View
  27. Annajigowda H, Chaturvedi S. Digital Mental Health: A Way Forward for Public Mental Health. World Social Psychiatry 2023;5(2):153 View
  28. Eversdijk M, Habibović M, Willems D, Kop W, Ploem M, Dekker L, Tan H, Vullings R, Bak M. Ethics of Wearable-Based Out-of-Hospital Cardiac Arrest Detection. Circulation: Arrhythmia and Electrophysiology 2024;17(9) View
  29. Galderisi S, Appelbaum P, Gill N, Gooding P, Herrman H, Melillo A, Myrick K, Pathare S, Savage M, Szmukler G, Torous J. Ethical challenges in contemporary psychiatry: an overview and an appraisal of possible strategies and research needs. World Psychiatry 2024;23(3):364 View
  30. Martinez‐Martin N. A broader approach to ethical challenges in digital mental health. World Psychiatry 2024;23(3):394 View
  31. Sasseville M, Ouellet S, Rhéaume C, Sahlia M, Couture V, Després P, Paquette J, Darmon D, Bergeron F, Gagnon M. Bias Mitigation in Primary Health Care Artificial Intelligence Models: Scoping Review. Journal of Medical Internet Research 2025;27:e60269 View
  32. He M, Bakker E, Lew M. DPD (DePression Detection) Net: a deep neural network for multimodal depression detection. Health Information Science and Systems 2024;12(1) View
  33. Blevins E, Slopen N, Koenen K, Mikesell C, Basu A. Perspectives on Integrating Biological Assessments to Address the Health Effects of Childhood Adversities. Harvard Review of Psychiatry 2024 View
  34. Sonig A, Deeney C, Hurley M, Storch E, Herrington J, Lázaro-Muñoz G, Zampella C, Tunc B, Parish-Morris J, Blumenthal-Barby J, Kostick-Quenet K. What patients and caregivers want to know when consenting to the use of digital behavioral markers. NPP—Digital Psychiatry and Neuroscience 2024;2(1) View
  35. Alam N, Giacco D, Siddiqi B, Singh S, Jilka S. Investigating Awareness and Acceptance of Digital Phenotyping in Dhaka’s Korail Slum: Qualitative Study. JMIR Formative Research 2025;9:e65530 View
  36. Moore B, Herington J, Tekin Ş. The Integration of Artificial Intelligence-Powered Psychotherapy Chatbots in Pediatric Care: Scaffold or Substitute?. The Journal of Pediatrics 2025;280:114509 View
  37. Bennett-Poynter L, Kundurthi S, Besa R, Joyce D, Kormilitzin A, Shen N, Sunwoo J, Szkudlarek P, Sequiera L, Sikstrom L. Harnessing digital health data for suicide prevention and care: A rapid review. DIGITAL HEALTH 2025;11 View
  38. Alfredo Ardisson Cirino Campos F, Feitosa F, Moll M, Reis I, Sánchez García J, Ventura C. Initial Requirements for the Prototyping of an App for a Psychosocial Rehabilitation Project: An Integrative Review. International Journal of Environmental Research and Public Health 2025;22(2):310 View
  39. Heckler W, Feijó L, de Carvalho J, Barbosa J. Digital phenotyping for mental health based on data analytics: A systematic literature review. Artificial Intelligence in Medicine 2025;163:103094 View
  40. Carvalho R, Castro D. Digital Footprints and Machine Learning in Psychological Assessment. European Psychologist 2025 View
  41. McBride L, Badal V, Harvey P, Pinkham A, Aich A, Parde N, Depp C. Evaluating natural language processing derived linguistic features associated with current suicidal ideation, past attempts, and future suicidal behavior. Journal of Psychiatric Research 2025;187:25 View
  42. Marcoux A. AI ethics strategies and practices in organizations: a scoping review. International Journal of Ethics and Systems 2025 View
  43. Cirino Campos F, Sánches García J, Galdino da Silva G, Araújo J, Farfán Ulloa I, Caritá E, Feitosa F, Moll M, Rodriguez T, Ventura C. Development of the Psychosocial Rehabilitation Web Application (Psychosocial Rehab App). Nursing Reports 2025;15(7):228 View
  44. Huang D, Emedom-Nnamdi P, Onnela J, Van Meter A, Hasan H. Design and feasibility of smartphone-based digital phenotyping for long-term mental health monitoring in adolescents. PLOS Digital Health 2025;4(7):e0000883 View
  45. Senghor A, Medeiros M, Baquet C, Lance F, Daniel Mullins C. A Proposal for Addressing Bioethical Concerns Along the 10‐Step Framework for Community Engagement. Health Expectations 2025;28(4) View
  46. Wang P, Liu H, Shi Y, Liu A, Zhu Q, Albu I, Pacholec M, Cheng L, Sun X, Chi X. Harnessing Small‐Data Machine Learning for Transformative Mental Health Forecasting: Towards Precision Psychiatry With Personalised Digital Phenotyping. Med Research 2025;1(2):226 View
  47. Petrušić I. Digital phenotyping for migraine: A game-changer for research and management. Cephalalgia 2025;45(7) View
  48. Zhao X, Lou Z, Shah P, Wu C, Liu R, Xie W, Zhang S. Integration of Multi-Modal Biosensing Approaches for Depression: Current Status, Challenges, and Future Perspectives. Sensors 2025;25(15):4858 View
  49. Alam N, Surani M, Das C, Giacco D, Singh S, Jilka S. Challenges and standardisation strategies for sensor-based data collection for digital phenotyping. Communications Medicine 2025;5(1) View
  50. Večurkovská I, Roškovičová V, Kaťuchová J. Challenges in the Clinical Application of Machine Learning for Pancreatic Cancer. Bratislava Medical Journal 2025;126(10):2437 View
  51. Yang J. Rethinking epistemic injustice in psychiatric digital phenotyping from the perspective of ignorance. Journal of Medical Ethics 2025:jme-2025-110858 View
  52. Chen K, Torous J, Cheong J. The Current State/ Trends in Digital Phenotyping for Mental Health Research and Care. Psychiatric Clinics of North America 2025 View
  53. Martinez-Martin N. Developing mental health AI tools that improve care across different groups and contexts. Nature Computational Science 2025;5(10):839 View
  54. Kostick-Quenet K, Hurley M, Herrington J, Storch E. Rethinking Ethics for an Era of Trusted Computational Tools. Psychiatric Clinics of North America 2025 View
  55. Plank L, Zlomuzica A. Detecting psychosis via natural language processing of social media posts: potentials and pitfalls. Neuropsychologia 2026;221:109325 View
  56. Kostick-Quenet K, Storch E. Toward Human-Centered Digital Health Interventions. Psychiatric Clinics of North America 2025 View
  57. Kostick-Quenet K, Hurley M, Ayaz S, Herrington J, Zampella C, Parrish-Morris J, Tunç B, Lázaro-Muñoz G, Blumenthal-Barby J, Storch E. Stakeholder Perspectives on Humanistic Implementation of Computer Perception in Healthcare: A Qualitative Study (Preprint). JMIR Mental Health 2025 View

Books/Policy Documents

  1. Friedrich O, Schleidgen S, Seifert J. Medizin – Technik – Ethik. View
  2. Gooding P. Handbook of Disability. View
  3. Gooding P. Handbook of Disability. View
  4. Saxena C. Affective Computing for Social Good. View
  5. Gillett G, Rigby D, Gadelrab R. Research Methods in Mental Health. View

Conference Proceedings

  1. Hwang A, Adler D, Friedenberg M, Yang Q. Proceedings of the CHI Conference on Human Factors in Computing Systems. Societal-Scale Human-AI Interaction Design? How Hospitals and Companies are Integrating Pervasive Sensing into Mental Healthcare View
  2. Bogdanova K, Cila N, Kudina O, Bozzon A. Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems. Digital Phenotyping as Felt Informatics: Designing AI-Based Mental Health Diagnostic Tools Through Aesthetics View