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David Benrimoh
David Benrimoh
Adresse e-mail validée de mail.mcgill.ca
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A systematic meta-review of predictors of antidepressant treatment outcome in major depressive disorder
K Perlman, D Benrimoh, S Israel, C Rollins, E Brown, JF Tunteng, R You, ...
Journal of affective disorders 243, 503-515, 2019
1132019
Precision and false perceptual inference
T Parr, DA Benrimoh, P Vincent, KJ Friston
Frontiers in integrative neuroscience 12, 39, 2018
562018
Active inference and auditory hallucinations
D Benrimoh, T Parr, P Vincent, RA Adams, K Friston
Computational Psychiatry (Cambridge, Mass.) 2, 183, 2018
522018
With an eye on uncertainty: Modelling pupillary responses to environmental volatility
P Vincent, T Parr, D Benrimoh, KJ Friston
PLoS computational biology 15 (7), e1007126, 2019
272019
Hallucinations both in and out of context: an active inference account
D Benrimoh, T Parr, RA Adams, K Friston
PLoS One 14 (8), e0212379, 2019
252019
From computation to the first-person: auditory-verbal hallucinations and delusions of thought interference in schizophrenia-spectrum psychoses
CS Humpston, RA Adams, D Benrimoh, MR Broome, PR Corlett, ...
Schizophrenia bulletin 45 (Supplement_1), S56-S66, 2019
202019
Aifred Health, a Deep Learning Powered Clinical Decision Support System for Mental Health
D Benrimoh, R Fratila, S Israel, K Perlman, N Mirchi, S Desai, A Rosenfeld, ...
The NIPS'17 Competition: Building Intelligent Systems, 251-287, 2018
202018
Everything is connected: inference and attractors in delusions
RA Adams, P Vincent, D Benrimoh, KJ Friston, T Parr
Schizophrenia Research 245, 5-22, 2022
182022
Big Data analytics and artificial intelligence in mental healthcare
A Rosenfeld, D Benrimoh, C Armstrong, N Mirchi, T Langlois-Therrien, ...
Applications of Big Data in Healthcare, 137-171, 2021
182021
Power and physician leadership
A Saxena, D Meschino, L Hazelton, MK Chan, DA Benrimoh, A Matlow, ...
BMJ Leader, leader-2019-000139, 2019
152019
Analysis of features selected by a deep learning model for differential treatment selection in depression
J Mehltretter, C Rollins, D Benrimoh, R Fratila, K Perlman, S Israel, ...
Frontiers in Artificial Intelligence 2, 31, 2020
122020
Differential treatment benefit prediction for treatment selection in depression: a deep learning analysis of STAR* D and CO-MED data
J Mehltretter, R Fratila, D Benrimoh, A Kapelner, K Perlman, E Snook, ...
BioRxiv, 679779, 2019
122019
Mobilizing the private sector for responsible innovation in neurotechnology
GM Sebastian M. Pfotenhauer , Nina Frahm , David Winickof, David Benrimoh ...
Nature Biotechnology, 2021
102021
Using a Simulation Centre to Evaluate the Effect of an Artificial Intelligence-Powered Clinical Decision Support System for Depression Treatment on the Physician-Patient …
D Benrimoh, M Tanguay-Sela, K Perlman, S Israel, J Mehltretter, ...
Medrxiv, 2020.03. 20.20039255, 2020
10*2020
Evaluating the perceived utility of an artificial intelligence-powered clinical decision support system for depression treatment using a simulation center
M Tanguay-Sela, D Benrimoh, C Popescu, T Perez, C Rollins, E Snook, ...
Psychiatry Research 308, 114336, 2022
92022
Posttraumatic stress disorder prevalence in medical populations: a systematic review and meta-analysis
S Cyr, MJ Marcil, P Dupont, L Jobidon, D Benrimoh, MC Guertin, ...
General Hospital Psychiatry 69, 81-93, 2021
92021
Lessons learned from a student-driven initiative to design and implement an organ and tissue donation course across Canadian medical schools
A Fletcher, BY Chen, D Benrimoh, S Shemie, S Lubarsky
Perspectives on Medical Education 7, 332-336, 2018
82018
An advocacy and leadership curriculum to train socially responsible medical learners
D Benrimoh, N Warsi, E Hodgson, N Demko, BY Chen, R Habte, ...
MedEdPublish 5 (62), 62, 2016
72016
Evaluating the clinical feasibility of an artificial intelligence–powered, web-based clinical decision support system for the treatment of depression in adults: longitudinal …
C Popescu, G Golden, D Benrimoh, M Tanguay-Sela, D Slowey, ...
JMIR formative research 5 (10), e31862, 2021
62021
Meticulous transparency—an evaluation process for an agile AI regulatory scheme
D Benrimoh, S Israel, K Perlman, R Fratila, M Krause
Recent Trends and Future Technology in Applied Intelligence: 31st …, 2018
62018
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