David Benrimoh

According to our database, David Benrimoh authored at least 11 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Development and Validation of a Deep-Learning Model for Differential Treatment Benefit Prediction for Adults with Major Depressive Disorder Deployed in the Artificial Intelligence in Depression Medication Enhancement (AIDME) Study.

David Benrimoh, Caitrin Armstrong, Joseph Mehltretter, Robert Fratila, Kelly Perlman, Sonia Israel, Adam Kapelner, Sagar V. Parikh, Jordan F. Karp, Katherine A. Heller, Gustavo Turecki

CoRR, 2024

2023

Towards Outcome-Driven Patient Subgroups: A Machine Learning Analysis Across Six Depression Treatment Studies.

David Benrimoh, Akiva Kleinerman, Toshi A. Furukawa, Charles F. Reynolds III, Eric Lenze, Jordan F. Karp, Benoit H. Mulsant, Caitrin Armstrong, Joseph Mehltretter, Robert Fratila, Kelly Perlman, Sonia Israel, Myriam Tanguay-Sela, Christina Popescu, Grace Golden, Sabrina Qassim, Alexandra Anacleto, Adam Kapelner, Ariel Rosenfeld, Gustavo Turecki

CoRR, 2023

Applying Artificial Intelligence to Clinical Decision Support in Mental Health: What Have We Learned?

Grace Golden, Christina Popescu, Sonia Israel, Kelly Perlman, Caitrin Armstrong, Robert Fratila, Myriam Tanguay-Sela, David Benrimoh

CoRR, 2023

2021

Identification of Suicidal Ideation in the Canadian Community Health Survey - Mental Health Component Using Deep Learning.

Sneha Desai, Myriam Tanguay-Sela, David Benrimoh, Robert Fratila, Donald E. Brown, Kelly Perlman, Ann John, Marcos del Pozo-Baños, Nancy Low, Sonia Israel, Lisa Palladini, Gustavo Turecki

Frontiers Artif. Intell., 2021

Editorial: ML and AI Safety, Effectiveness and Explainability in Healthcare.

David Benrimoh, Sonia Israel, Robert Fratila, Caitrin Armstrong, Kelly Perlman, Ariel Rosenfeld, Adam Kapelner

Frontiers Big Data, 2021

Computational Mechanism for the Effect of Psychosis Community Treatment: A Conceptual Review from Neurobiology to Social Interaction.

David Benrimoh, Ely Sibarium, Andrew Sheldon, Albert Powers

CoRR, 2021

2020

A Bayesian Account of Generalist and Specialist Formation Under the Active Inference Framework.

Anthony G. Chen, David Benrimoh, Thomas Parr, Karl J. Friston

Frontiers Artif. Intell., 2020

2019

With an eye on uncertainty: Modelling pupillary responses to environmental volatility.

Peter Vincent, Thomas Parr, David Benrimoh, Karl J. Friston

PLoS Comput. Biol., 2019

Analysis of Features Selected by a Deep Learning Model for Differential Treatment Selection in Depression.

Joseph Mehltretter, Colleen Rollins, David Benrimoh, Robert Fratila, Kelly Perlman, Sonia Israel, Marc Miresco, Marina Wakid, Gustavo Turecki

Frontiers Artif. Intell., 2019

Big Data Analytics and AI in Mental Healthcare.

Ariel Rosenfeld, David Benrimoh, Caitrin Armstrong, Nykan Mirchi, Timothe Langlois-Therrien, Colleen Rollins, Myriam Tanguay-Sela, Joseph Mehltretter, Robert Fratila, Sonia Israel, Emily Snook, Kelly Perlman, Akiva Kleinerman, Bechara Saab, Mark Thoburn, Cheryl Gabbay, Amit Yaniv-Rosenfeld

CoRR, 2019

2018

Meticulous Transparency - An Evaluation Process for an Agile AI Regulatory Scheme.

David Benrimoh, Sonia Israel, Kelly Perlman, Robert Fratila, Matthew R. Krause

Proceedings of the Recent Trends and Future Technology in Applied Intelligence, 2018