Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/44502, first published .
Digital Phenotyping: Data-Driven Psychiatry to Redefine Mental Health

Digital Phenotyping: Data-Driven Psychiatry to Redefine Mental Health

Digital Phenotyping: Data-Driven Psychiatry to Redefine Mental Health

Journals

  1. Bassil K. Balancing the Double-Edged Implications of AI in Psychiatric Digital Phenotyping. The American Journal of Bioethics 2024;24(2):113 View
  2. Schoeller F, Christov-Moore L, Lynch C, Diot T, Reggente N, Boggio P. Predicting individual differences in peak emotional response. PNAS Nexus 2024;3(3) View
  3. Solsky I, Haynes A. Beyond the physical: Digital phenotyping and the complexity of surgical recovery. Surgery 2024;176(2):519 View
  4. Ciharova M, Amarti K, van Breda W, Peng X, Lorente-Català R, Funk B, Hoogendoorn M, Koutsouleris N, Fusar-Poli P, Karyotaki E, Cuijpers P, Riper H. Use of Machine-Learning Algorithms Based on Text, Audio and Video Data in the Prediction of Anxiety and Post-Traumatic Stress in General and Clinical Populations: A Systematic Review. Biological Psychiatry 2024 View
  5. 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 View