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The Lancet. Digital Health
|
March 15, 2026
Beyond artificial intelligence psychosis: a functional typology of large language model-associated psychotic phenomena
Matthew Flathers, Spencer Roux, John Torous
Journal of Psychiatric Practice
|
December 1, 2025
Contextualizing Clinical Benchmarks: A Tripartite Approach to Evaluating LLM-Based Tools in Mental Health Settings
Matthew Flathers, Bridget Dwyer, Eden Rozenblit, et al.
Scientific Reports
|
February 22, 2026
LINC: a framework for maintaining high-quality passive data in digital phenotyping studies
Elombe Calvert, Erlend Lane, Matthew Flathers, et al.
BMJ Mental Health
|
December 4, 2024
AI depictions of psychiatric diagnoses: a preliminary study of generative image outputs in Midjourney V.6 and DALL-E 3
Matthew Flathers, Griffin Smith, Ellen Wagner, et al.
NPJ Digital Medicine
|
October 16, 2025
Evaluating the performance of general purpose large language models in identifying human facial emotions
Benjamin W Nelson, Ari Winbush, Steven Siddals, et al.
BMJ Mental Health
|
September 24, 2025
Interpreting psychiatric digital phenotyping data with large language models: a preliminary analysis
Matthew Flathers, Winna Xia, Christine Hau, et al.
Molecular Psychiatry
|
May 20, 2025
Towards clinical subtypes in schizophrenia: integrating cognitive, functional, and digital phenotyping assessments
Andrew Jin Soo Byun, Erlend Lane, Carsten Langholm, et al.
JMIR Research Protocols
|
July 3, 2026
Real-Time Smartphone Monitoring Assessments as a Cognitive Biomarker of Alzheimer Disease: Protocol for a Development Study
Meaghan McKenna, John Torous, Eden Rozenblit, et al.
JMIR Formative Research
|
November 19, 2024
Assessing Digital Phenotyping for App Recommendations and Sustained Engagement: Cohort Study
Bridget Dwyer, Matthew Flathers, James Burns, et al.
Psychiatry Research
|
April 5, 2025
Smartphone digital phenotyping in mental health disorders: A review of raw sensors utilized, machine learning processing pipelines, and derived behavioral features
Jake Linardon, Kelly Chen, Shruti Gajjar, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 17) with videos related to
Sort By:
Page
of 2
The Lancet. Digital Health
|
March 15, 2026
Beyond artificial intelligence psychosis: a functional typology of large language model-associated psychotic phenomena
Matthew Flathers, Spencer Roux, John Torous
Journal of Psychiatric Practice
|
December 1, 2025
Contextualizing Clinical Benchmarks: A Tripartite Approach to Evaluating LLM-Based Tools in Mental Health Settings
Matthew Flathers, Bridget Dwyer, Eden Rozenblit, et al.
Scientific Reports
|
February 22, 2026
LINC: a framework for maintaining high-quality passive data in digital phenotyping studies
Elombe Calvert, Erlend Lane, Matthew Flathers, et al.
BMJ Mental Health
|
December 4, 2024
AI depictions of psychiatric diagnoses: a preliminary study of generative image outputs in Midjourney V.6 and DALL-E 3
Matthew Flathers, Griffin Smith, Ellen Wagner, et al.
NPJ Digital Medicine
|
October 16, 2025
Evaluating the performance of general purpose large language models in identifying human facial emotions
Benjamin W Nelson, Ari Winbush, Steven Siddals, et al.
BMJ Mental Health
|
September 24, 2025
Interpreting psychiatric digital phenotyping data with large language models: a preliminary analysis
Matthew Flathers, Winna Xia, Christine Hau, et al.
Molecular Psychiatry
|
May 20, 2025
Towards clinical subtypes in schizophrenia: integrating cognitive, functional, and digital phenotyping assessments
Andrew Jin Soo Byun, Erlend Lane, Carsten Langholm, et al.
JMIR Research Protocols
|
July 3, 2026
Real-Time Smartphone Monitoring Assessments as a Cognitive Biomarker of Alzheimer Disease: Protocol for a Development Study
Meaghan McKenna, John Torous, Eden Rozenblit, et al.
JMIR Formative Research
|
November 19, 2024
Assessing Digital Phenotyping for App Recommendations and Sustained Engagement: Cohort Study
Bridget Dwyer, Matthew Flathers, James Burns, et al.
Psychiatry Research
|
April 5, 2025
Smartphone digital phenotyping in mental health disorders: A review of raw sensors utilized, machine learning processing pipelines, and derived behavioral features
Jake Linardon, Kelly Chen, Shruti Gajjar, et al.
Page
of 2