David Benrimoh, MD, PhD




6875 Boulevard LaSalle
Montréal, QC
H4H 1R3

Chercheur, Centre de recherche Douglas
Psychiatre, Institut universitaire en santé mentale Douglas
Professeur adjoint, Département de psychiatrie, Université McGill

Nom du laboratoire: Laboratoire de psychiatrie computationnelle et translationnelle de McGill (McPsyt)

Groupe thématique: Santé mentale des jeunes et intervention précoce
Division: Recherche clinique


Benrimoh, D., Fisher, V., Mourgues, C., Sheldon, A. D., Smith, R., & Powers, A. R. (2023). Barriers and solutions to the adoption of translational tools for computational psychiatry. Molecular Psychiatry, 1–8. https://doi.org/10.1038/s41380-023-02114-y

Benrimoh, D. A., & Friston, K. J. (2020). All grown up: Computational theories of psychosis, complexity, and progress. Journal of Abnormal Psychology, 129, 624–628.https://doi.org/10.1037/abn0000543

Benrimoh, D., Parr, T., Adams, R. A., & Friston, K. (2019). Hallucinations both in and out of context: An active inference account. PLOS ONE, 14(8), e0212379.https://doi.org/10.1371/journal.pone.0212379

Benrimoh, D., Parr, T., Vincent, P., Adams, R. A., & Friston, K. (2018). Active Inference and Auditory Hallucinations. Computational Psychiatry (Cambridge, Mass.), 2, 183–204.https://doi.org/10.1162/cpsy_a_00022

Benrimoh, D., Fratila, R., Israel, S., Perlman, K., Mirchi, N., Desai, S., Rosenfeld, A., Knappe, S., Behrmann, J., Rollins, C., You, R. P., & Aifred Health Team, T. (2018). Aifred Health, a Deep Learning Powered Clinical Decision Support System for Mental Health. In S. Escalera & M. Weimer (Eds.), The NIPS ’17 Competition: Building Intelligent Systems (pp. 251–287). Springer International Publishing. https://doi.org/10.1007/978-3-319-94042-7_13

Mehltretter, J., Fratila, R., Benrimoh, D. A. , Kapelner, A., Perlman, K., Snook, E., Israel, S., Armstrong, C., Miresco, M., & Turecki, G. (2020). Differential Treatment Benefit Prediction for Treatment Selection in Depression: A Deep Learning Analysis of STAR*D and CO-MED Data. Computational Psychiatry, 4(0), Article 0. https://doi.org/10.1162/cpsy_a_00029

Mehltretter, J., Rollins, C., Benrimoh, D., Fratila, R., Perlman, K., Israel, S., Miresco, M., Wakid, M., & Turecki, G. (2020). Analysis of Features Selected by a Deep Learning Model for Differential Treatment Selection in Depression. Frontiers in Artificial Intelligence, 2.https://www.frontiersin.org/articles/10.3389/frai.2019.00031

Kleinerman, A., Rosenfeld, A., Benrimoh, D., Fratila, R., Armstrong, C., Mehltretter, J., Shneider, E., Yaniv-Rosenfeld, A., Karp, J., Reynolds, C. F., Turecki, G., & Kapelner, A. (2021). Treatment selection using prototyping in latent-space with application to depression treatment. PLOS ONE, 16(11), e0258400. https://doi.org/10.1371/journal.pone.0258400

Benrimoh, D., Tanguay-Sela, M., Perlman, K., Israel, S., Mehltretter, J., Armstrong, C., Fratila, R., Parikh, S. V., Karp, J. F., Heller, K., Vahia, I. V., Blumberger, D. M., Karama, S., Vigod, S. N., Myhr, G., Martins, R., Rollins, C., Popescu, C., Lundrigan, E., … Margolese, H. C. (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. BJPsych Open, 7(1), e22.https://doi.org/10.1192/bjo.2020.127

Benrimoh, D., Israel, S., Perlman, K., Fratila, R., & Krause, M. (2018). Meticulous Transparency—An Evaluation Process for an Agile AI Regulatory Scheme. In M. Mouhoub, S. Sadaoui, O. Ait Mohamed, & M. Ali (Eds.), Recent Trends and Future Technology in Applied Intelligence (pp. 869–880). Springer International Publishing. https://doi.org/10.1007/978-3-319-92058-0_83

Popescu, C., Golden, G., Benrimoh, D. , Tanguay-Sela, M., Slowey, D., Lundrigan, E., Williams, J., Desormeau, B., Kardani, D., Perez, T., Rollins, C., Israel, S., Perlman, K., Armstrong, C., Baxter, J., Whitmore, K., Fradette, M.-J., Felcarek-Hope, K., Soufi, G., … Turecki, G. (2021). 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. JMIR Formative Research, 5(10), e31862.https://doi.org/10.2196/31862

Pfotenhauer, S. M., Frahm, N., Winickoff, D., Benrimoh, D., Illes, J., & Marchant, G. (2021). Mobilizing the private sector for responsible innovation in neurotechnology. Nature Biotechnology, 39(6), Article 6. https://doi.org/10.1038/s41587-021-00947-y

Perlman, K., Benrimoh, D., Israel, S., Rollins, C., Brown, E., Tunteng, J.-F., You, R., You, E., Tanguay-Sela, M., Snook, E., Miresco, M., & Berlim, M. T. (2019). A systematic meta-review of predictors of antidepressant treatment outcome in major depressive disorder. Journal of Affective Disorders, 243, 503–515. https://doi.org/10.1016/j.jad.2018.09.067