| 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 | 38 | 2021 |
| 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 |
| 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 | 35 | 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 | 34 | 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 | 29 | 2019 |
| 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 | 28 | 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 | 22 | 2021 |
| Deep learning segmentation of orbital fat to calibrate conventional MRI for longitudinal studies RA Brown, D Fetco, R Fratila, G Fadda, S Jiang, NM Alkhawajah, EA Yeh, ... Neuroimage 208, 116442, 2020 | 22 | 2020 |
| 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 | 18 | 2021 |
| 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 | 14 | 2024 |
| Treatment selection using prototyping in latent-space with application to depression treatment A Kleinerman, A Rosenfeld, D Benrimoh, R Fratila, C Armstrong, ... Plos one 16 (11), e0258400, 2021 | 12 | 2021 |
| 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 | 12 | 2018 |
| 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 | 6 | 2024 |
| Identification of Suicidal Ideation in the Canadian Community Health Survey—Mental Health Component Using Deep Learning S Desai, M Tanguay-Sela, D Benrimoh, R Fratila, E Brown, K Perlman, ... Frontiers in Artificial Intelligence 4, 561528, 2021 | 5 | 2021 |
| 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, ... | 5 | 2020 |
| Analysis of features selected by a deep learning model for differential treatment selection in depression. Front Artif Intell 2 J Mehltretter, C Rollins, D Benrimoh, R Fratila, K Perlman, S Israel, ... | 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 |
| Evaluating the usability and impact of an artificial intelligence-powered clinical decision support system for depression treatment M Tanguay-Sela, D Benrimoh, K Perlman, S Israel, J Mehltretter, ... Biological Psychiatry 87 (9), S171, 2020 | 3 | 2020 |
| 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 | 3 | 2020 |
