The emerging role of exosomes in mental disorders S Saeedi, S Israel, C Nagy, G Turecki Translational psychiatry 9 (1), 122, 2019 | 335 | 2019 |
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 | 167 | 2019 |
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 | 37 | 2018 |
Using a simulation centre to evaluate preliminary acceptability and impact of an artificial intelligence-powered clinical decision support system for depression treatment on … D Benrimoh, M Tanguay-Sela, K Perlman, S Israel, J Mehltretter, ... BJPsych open 7 (1), e22, 2021 | 36 | 2021 |
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 | 34 | 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 | 33 | 2022 |
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 | 28 | 2019 |
DCC‐related developmental effects of abused‐versus therapeutic‐like amphetamine doses in adolescence S Cuesta, JM Restrepo‐Lozano, C Popescu, S He, LM Reynolds, S Israel, ... Addiction biology 25 (4), e12791, 2020 | 27 | 2020 |
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 | 25 | 2021 |
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 | 20 | 2021 |
Big data analytics and AI in mental healthcare A Rosenfeld, D Benrimoh, C Armstrong, N Mirchi, T Langlois-Therrien, ... arXiv preprint arXiv:1903.12071, 2019 | 20 | 2019 |
ML and AI safety, effectiveness and explainability in healthcare D Benrimoh, S Israel, R Fratila, C Armstrong, K Perlman, A Rosenfeld, ... Frontiers in big Data 4, 727856, 2021 | 17 | 2021 |
Amphetamine disrupts dopamine axon growth in adolescence by a sex-specific mechanism in mice LM Reynolds, G Hernandez, D MacGowan, C Popescu, D Nouel, ... Nature communications 14 (1), 4035, 2023 | 13 | 2023 |
The emerging role of exosomes in mental disorders. Transl Psychiatry. 2019; 9 (1): 122 S Saeedi, S Israel, C Nagy, G Turecki Epub 2019/03/30. doi: 10.1038/s41398-019-0459-9. PubMed PMID: 30923321, 2019 | 13 | 2019 |
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 | 10 | 2018 |
Applying artificial intelligence to clinical decision support in mental health: What have we learned? G Golden, C Popescu, S Israel, K Perlman, C Armstrong, R Fratila, ... Health Policy and Technology 13 (2), 100844, 2024 | 9 | 2024 |
Towards outcome-driven patient subgroups: a machine learning analysis across six depression treatment studies D Benrimoh, A Kleinerman, TA Furukawa, CF Reynolds III, EJ Lenze, ... The American Journal of Geriatric Psychiatry 32 (3), 280-292, 2024 | 5 | 2024 |
The emerging role of exosomes in mental disorders. Transl Psychiatry 9 (1): 122 S Saeedi, S Israel, C Nagy, G Turecki | 5 | 2019 |
Primed for Psychiatry: The role of artificial intelligence and machine learning in the optimization of depression treatment. J Tan, CRE Rollins, S Israel, D Benrimoh University of Toronto Medical Journal 96 (1), 2019 | 5 | 2019 |
A mixed-methods feasibility study of a novel AI-enabled, web-based, clinical decision support system for the treatment of major depression in adults S Qassim, G Golden, D Slowey, M Sarfas, K Whitmore, T Perez, E Strong, ... Journal of Affective Disorders Reports 14, 100677, 2023 | 4 | 2023 |