David Benrimoh

14 papers C 1Journal 13
YearRankTypeTitle / Venue / Authors
2025 J jnl
LLM-Assisted Abstract Screening with OLIVER: Evaluating Calibration and Single-Model vs. Actor-Critic Configurations in Literature Reviews.
CoRR
Kian Godhwani, David Benrimoh
2025 J jnl
Latent Space Data Fusion Outperforms Early Fusion in Multimodal Mental Health Digital Phenotyping Data.
CoRR
Youcef Barkat, Dylan Hamitouche, Deven Parekh, Ivy Guo, David Benrimoh
2025 J jnl
The Einstein Test: Towards a Practical Test of a Machine's Ability to Exhibit Superintelligence.
CoRR
David Benrimoh, Nace Mikus, Ariel Rosenfeld
2024 J jnl
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.
CoRR
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
2023 J jnl
Applying Artificial Intelligence to Clinical Decision Support in Mental Health: What Have We Learned?
CoRR
Grace Golden, Christina Popescu, Sonia Israel, Kelly Perlman, Caitrin Armstrong, Robert Fratila, Myriam Tanguay-Sela, David Benrimoh
2023 J jnl
Towards Outcome-Driven Patient Subgroups: A Machine Learning Analysis Across Six Depression Treatment Studies.
CoRR
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
2021 J jnl
Computational Mechanism for the Effect of Psychosis Community Treatment: A Conceptual Review from Neurobiology to Social Interaction.
CoRR
David Benrimoh, Ely Sibarium, Andrew Sheldon, Albert Powers
2021 J jnl
Editorial: ML and AI Safety, Effectiveness and Explainability in Healthcare.
Frontiers Big Data
David Benrimoh, Sonia Israel, Robert Fratila, Caitrin Armstrong, Kelly Perlman, Ariel Rosenfeld, Adam Kapelner
2021 J jnl
Identification of Suicidal Ideation in the Canadian Community Health Survey - Mental Health Component Using Deep Learning.
Frontiers Artif. Intell.
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
2020 J jnl
A Bayesian Account of Generalist and Specialist Formation Under the Active Inference Framework.
Frontiers Artif. Intell.
Anthony G. Chen, David Benrimoh, Thomas Parr, Karl J. Friston
2019 J jnl
Analysis of Features Selected by a Deep Learning Model for Differential Treatment Selection in Depression.
Frontiers Artif. Intell.
Joseph Mehltretter, Colleen Rollins, David Benrimoh, Robert Fratila, Kelly Perlman, Sonia Israel, Marc Miresco, Marina Wakid, Gustavo Turecki
2019 J jnl
Big Data Analytics and AI in Mental Healthcare.
CoRR
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
2019 J jnl
With an eye on uncertainty: Modelling pupillary responses to environmental volatility.
PLoS Comput. Biol.
Peter Vincent, Thomas Parr, David Benrimoh, Karl J. Friston
2018 C conf
Meticulous Transparency - An Evaluation Process for an Agile AI Regulatory Scheme.
IEA/AIE
David Benrimoh, Sonia Israel, Kelly Perlman, Robert Fratila, Matthew R. Krause