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Frontiers in Artificial Intelligence
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March 18, 2021
Analysis of Features Selected by a Deep Learning Model for Differential Treatment Selection in Depression
Joseph Mehltretter, Colleen Rollins, David Benrimoh, et al.
Translational Psychiatry
|
June 21, 2024
Development of a differential treatment selection model for depression on consolidated and transformed clinical trial datasets
Kelly Perlman, Joseph Mehltretter, David Benrimoh, et al.
Neuroimage
|
December 11, 2019
Deep learning segmentation of orbital fat to calibrate conventional MRI for longitudinal studies
Robert A Brown, Dumitru Fetco, Robert Fratila, et al.
Npj Mental Health Research
|
June 23, 2025
Development of the treatment prediction model in the artificial intelligence in depression - medication enhancement study
David Benrimoh, Caitrin Armstrong, Joseph Mehltretter, et al.
Frontiers in Artificial Intelligence
|
July 12, 2021
Identification of Suicidal Ideation in the <i>Canadian Community Health Survey-Mental Health Component</i> Using Deep Learning
Sneha Desai, Myriam Tanguay-Sela, David Benrimoh, et al.
Plos One
|
November 12, 2021
Treatment selection using prototyping in latent-space with application to depression treatment
Akiva Kleinerman, Ariel Rosenfeld, David Benrimoh, et al.
The American Journal of Geriatric Psychiatry : Official Journal of the American Association for Geriatric Psychiatry
|
October 15, 2023
Towards Outcome-Driven Patient Subgroups: A Machine Learning Analysis Across Six Depression Treatment Studies
David Benrimoh, Akiva Kleinerman, Toshi A Furukawa, et al.
Psychiatry Research
|
December 25, 2021
Evaluating the perceived utility of an artificial intelligence-powered clinical decision support system for depression treatment using a simulation center
Myriam Tanguay-Sela, David Benrimoh, Christina Popescu, et al.
JMIR Formative Research
|
January 24, 2024
Correction: Evaluating the Clinical Feasibility of an Artificial Intelligence-Powered, Web-Based Clinical Decision Support System for the Treatment of Depression in Adults: Longitudinal Feasibility Study
Christina Popescu, Grace Golden, David Benrimoh, et al.
Bjpsych Open
|
January 6, 2021
Using a simulation centre to evaluate preliminary acceptability and impact of an artificial intelligence-powered clinical decision support system for depression treatment on the physician-patient interaction
David Benrimoh, Myriam Tanguay-Sela, Kelly Perlman, et al.
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of 2
Search research articles
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Showing results (1-10 of 12) with videos related to
Sort By:
Page
of 2
Frontiers in Artificial Intelligence
|
March 18, 2021
Analysis of Features Selected by a Deep Learning Model for Differential Treatment Selection in Depression
Joseph Mehltretter, Colleen Rollins, David Benrimoh, et al.
Translational Psychiatry
|
June 21, 2024
Development of a differential treatment selection model for depression on consolidated and transformed clinical trial datasets
Kelly Perlman, Joseph Mehltretter, David Benrimoh, et al.
Neuroimage
|
December 11, 2019
Deep learning segmentation of orbital fat to calibrate conventional MRI for longitudinal studies
Robert A Brown, Dumitru Fetco, Robert Fratila, et al.
Npj Mental Health Research
|
June 23, 2025
Development of the treatment prediction model in the artificial intelligence in depression - medication enhancement study
David Benrimoh, Caitrin Armstrong, Joseph Mehltretter, et al.
Frontiers in Artificial Intelligence
|
July 12, 2021
Identification of Suicidal Ideation in the <i>Canadian Community Health Survey-Mental Health Component</i> Using Deep Learning
Sneha Desai, Myriam Tanguay-Sela, David Benrimoh, et al.
Plos One
|
November 12, 2021
Treatment selection using prototyping in latent-space with application to depression treatment
Akiva Kleinerman, Ariel Rosenfeld, David Benrimoh, et al.
The American Journal of Geriatric Psychiatry : Official Journal of the American Association for Geriatric Psychiatry
|
October 15, 2023
Towards Outcome-Driven Patient Subgroups: A Machine Learning Analysis Across Six Depression Treatment Studies
David Benrimoh, Akiva Kleinerman, Toshi A Furukawa, et al.
Psychiatry Research
|
December 25, 2021
Evaluating the perceived utility of an artificial intelligence-powered clinical decision support system for depression treatment using a simulation center
Myriam Tanguay-Sela, David Benrimoh, Christina Popescu, et al.
JMIR Formative Research
|
January 24, 2024
Correction: Evaluating the Clinical Feasibility of an Artificial Intelligence-Powered, Web-Based Clinical Decision Support System for the Treatment of Depression in Adults: Longitudinal Feasibility Study
Christina Popescu, Grace Golden, David Benrimoh, et al.
Bjpsych Open
|
January 6, 2021
Using a simulation centre to evaluate preliminary acceptability and impact of an artificial intelligence-powered clinical decision support system for depression treatment on the physician-patient interaction
David Benrimoh, Myriam Tanguay-Sela, Kelly Perlman, et al.
Page
of 2