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Academic Psychiatry : the Journal of the American Association of Directors of Psychiatric Residency Training and the Association for Academic Psychiatry|May 23, 2018
Exploring the Association Between Electronic Health Record Use and Burnout Among Psychiatry Residents and Faculty: a Pilot Survey StudyNicholas M Domaney, John Torous, William E GreenbergNPJ Digital Medicine|August 19, 2022
Regulatory considerations to keep pace with innovation in digital health productsJohn Torous, Ariel D Stern, Florence T BourgeoisCurrent Opinion in Psychiatry|November 6, 2025
Efficacy and risks of artificial intelligence chatbots for anxiety and depression: a narrative review of recent clinical studiesRebekah Bodner, Katherine Lim, Renee Schneider, et al.International Psychogeriatrics|September 9, 2025
Barriers and facilitators to usability of a smartphone-based digital mental health tool in older adults: Insights from a secondary analysis of mindLAMPElombe Calvert, Katherine Hackett, John Torous, et al.Journal of American College Health : J of ACH|October 13, 2020
College student engagement with mental health apps: analysis of barriers to sustained useJennifer Melcher, Erica Camacho, Sarah Lagan, et al.Bjpsych Open|November 3, 2020
Deriving symptom networks from digital phenotyping data in serious mental illnessRyan Hays, Matcheri Keshavan, Hannah Wisniewski, et al.Psychiatry Research|September 5, 2020
A pilot study using ecological momentary assessment via smartphone application to identify adolescent problematic internet useMeredith Gansner, Melanie Nisenson, Nicholas Carson, et al.NPJ Schizophrenia|May 7, 2020
Towards clinically actionable digital phenotyping targets in schizophreniaPhilip Henson, Ian Barnett, Matcheri Keshavan, et al.Translational Behavioral Medicine|May 24, 2019
Development of a decision-making checklist tool to support technology selection in digital health researchCamille Nebeker, Rebecca J Bartlett Ellis, John TorousHarvard Review of Psychiatry|August 16, 2020
Systematic Review of Digital Phenotyping and Machine Learning in Psychosis Spectrum IllnessesJames Benoit, Henry Onyeaka, Matcheri Keshavan, et al.Pageof 42