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

Methods and New Tools in Mental Health Research (425) Digital Health Reviews (1186) Ethics, Privacy, and Legal Issues (457) Policy and Policy Proposals (115) Policy (52) Machine Learning (1388) Artificial Intelligence (1204)

Published on in Vol 8, No 6 (2021): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24668, first published .
Ethics and Law in Research on Algorithmic and Data-Driven Technology in Mental Health Care: Scoping Review

Ethics and Law in Research on Algorithmic and Data-Driven Technology in Mental Health Care: Scoping Review

Ethics and Law in Research on Algorithmic and Data-Driven Technology in Mental Health Care: Scoping Review

Authors of this article:

Piers Gooding1, 2 Author Orcid Image ;   Timothy Kariotis3 Author Orcid Image
Article Authors Cited by (34) Tweetations (29) Metrics

Journals

  1. Higgins O, Short B, Chalup S, Wilson R. Artificial intelligence (AI) and machine learning (ML) based decision support systems in mental health: An integrative review. International Journal of Mental Health Nursing 2023;32(4):966 View
  2. Kariotis T, Prictor M, Chang S, Gray K. Impact of Electronic Health Records on Information Practices in Mental Health Contexts: Scoping Review. Journal of Medical Internet Research 2022;24(5):e30405 View
  3. Ma J, O’Riordan M, Mazzer K, Batterham P, Bradford S, Kõlves K, Titov N, Klein B, Rickwood D. Consumer Perspectives on the Use of Artificial Intelligence Technology and Automation in Crisis Support Services: Mixed Methods Study. JMIR Human Factors 2022;9(3):e34514 View
  4. Basaraba C, Scodes J, Dambreville R, Radigan M, Dachepally P, Gu G, Wang R, Dixon L, Wall M. Prediction Tool for Individual Outcome Trajectories Across the Next Year in First-Episode Psychosis in Coordinated Specialty Care. JAMA Psychiatry 2023;80(1):49 View
  5. Petersson L, Larsson I, Nygren J, Nilsen P, Neher M, Reed J, Tyskbo D, Svedberg P. Challenges to implementing artificial intelligence in healthcare: a qualitative interview study with healthcare leaders in Sweden. BMC Health Services Research 2022;22(1) View
  6. Deng D, Rogers T, Naslund J. The Role of Moderators in Facilitating and Encouraging Peer-to-Peer Support in an Online Mental Health Community: A Qualitative Exploratory Study. Journal of Technology in Behavioral Science 2023;8(2):128 View
  7. Yang G, Bin S. Research on Mental Health Monitoring Scheme of Migrant Children Based on Convolutional Neural Network Based on Deep Learning. Occupational Therapy International 2022;2022:1 View
  8. Gama F, Tyskbo D, Nygren J, Barlow J, Reed J, Svedberg P. Implementation Frameworks for Artificial Intelligence Translation Into Health Care Practice: Scoping Review. Journal of Medical Internet Research 2022;24(1):e32215 View
  9. Sharma M, Savage C, Nair M, Larsson I, Svedberg P, Nygren J. Artificial Intelligence Applications in Health Care Practice: Scoping Review. Journal of Medical Internet Research 2022;24(10):e40238 View
  10. Svedberg P, Reed J, Nilsen P, Barlow J, Macrae C, Nygren J. Toward Successful Implementation of Artificial Intelligence in Health Care Practice: Protocol for a Research Program. JMIR Research Protocols 2022;11(3):e34920 View
  11. Rizvi A, Rizvi F, Lalakia P, Hyman L, Frasso R, Sztandera L, Das A. Is Artificial Intelligence the Cost-Saving Lens to Diabetic Retinopathy Screening in Low- and Middle-Income Countries?. Cureus 2023 View
  12. Steerling E, Siira E, Nilsen P, Svedberg P, Nygren J. Implementing AI in healthcare—the relevance of trust: a scoping review. Frontiers in Health Services 2023;3 View
  13. Slack S, Barclay L. First-person disavowals of digital phenotyping and epistemic injustice in psychiatry. Medicine, Health Care and Philosophy 2023;26(4):605 View
  14. Shutaleva A. Epistemic Challenges in Neurophenomenology: Exploring the Reliability of Knowledge and Its Ontological Implications. Philosophies 2023;8(5):94 View
  15. Bouhouita-Guermech S, Gogognon P, Bélisle-Pipon J. Specific challenges posed by artificial intelligence in research ethics. Frontiers in Artificial Intelligence 2023;6 View
  16. Kiuchi K, Otsu K, Hayashi Y. Psychological insights into the research and practice of embodied conversational agents, chatbots and social assistive robots: a systematic meta-review. Behaviour & Information Technology 2023:1 View
  17. Dudchenko V, Tsurkan-Saifulina Y, Vitman K. Legal Tech: Unravelling the nature and purpose of modern law in the digital era. Social Legal Studios 2023;6(3):24 View
  18. Li H, Sun Y, Zhang J, Liu D, Han Z, Li Y. Critical Uncertainty Analysis of the Application of New-Generation Digital Technology in China’s Construction Industry—A Study Based on the LDA-DEMATEL-ISM Improvement Model. Applied Sciences 2023;14(1):57 View
  19. Knight S, Shibani A, Vincent N. Ethical AI governance: mapping a research ecosystem. AI and Ethics 2024 View
  20. Carrera A, Manetti S, Lettieri E. Rewiring care delivery through Digital Therapeutics (DTx): a machine learning-enhanced assessment and development (M-LEAD) framework. BMC Health Services Research 2024;24(1) View
  21. Rukadikar A, Khandelwal K. Exploring the promises and pitfalls of artificial intelligence interventions in predicting adolescent self-harm and suicide attempts. General Hospital Psychiatry 2024;89:95 View
  22. Khosravi M, Zare Z, Mojtabaeian S, Izadi R. Ethical challenges of using artificial intelligence in healthcare delivery: a thematic analysis of a systematic review of reviews. Journal of Public Health 2024 View
  23. Khosravi M, Zare Z, Mojtabaeian S, Izadi R. Artificial Intelligence and Decision-Making in Healthcare: A Thematic Analysis of a Systematic Review of Reviews. Health Services Research and Managerial Epidemiology 2024;11 View
  24. Jin K, Li Y, Wu H, Tham Y, Koh V, Zhao Y, Kawasaki R, Grzybowski A, Ye J. Integration of smartphone technology and artificial intelligence for advanced ophthalmic care: A systematic review. Advances in Ophthalmology Practice and Research 2024;4(3):120 View
  25. Sundaram A, Subramaniam H, Ab Hamid S, Mohamad Nor A. An adaptive data-driven architecture for mental health care applications. PeerJ 2024;12:e17133 View
  26. Brătucu G, Ciobanu E, Chițu I, Litră A, Zamfirache A, Bălășescu M. The Use of Technology Assisted by Artificial Intelligence Depending on the Companies’ Digital Maturity Level. Electronics 2024;13(9):1687 View
  27. Suh J, Pendse S, Lewis R, Howe E, Saha K, Okoli E, Amores J, Ramos G, Shen J, Borghouts J, Sharma A, Pedrelli P, Friedman L, Jackman C, Benhalim Y, Ong D, Segal S, Althoff T, Czerwinski M. Rethinking technology innovation for mental health: framework for multi-sectoral collaboration. Nature Mental Health 2024;2(5):478 View
  28. 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
  29. Ćosić K, Popović S, Wiederhold B. Enhancing Aviation Safety through AI-Driven Mental Health Management for Pilots and Air Traffic Controllers. Cyberpsychology, Behavior, and Social Networking 2024 View
  30. Bosch R, Noordzij M, Westerhof G, Bohlmeijer E. Integration of Sensor-Based Technology in Mental Healthcare: A Systematic Scoping Review. Journal of Technology in Behavioral Science 2024 View
  31. Gilbert K, Muchamore I, Katterl S, Purdon H, Allen A, Ozols I, Gooding P. Digital futures in mind: Why lived experience collaboration must guide digital mental health technologies. Australian Journal of Social Issues 2024 View

Books/Policy Documents

  1. Gooding P. Handbook of Disability. View
  2. Sonawane U, Komorowski M. Beyond Quantity. View
  3. Gooding P. Handbook of Disability. View