Douglas Mental Health University Institute

Meticulous Transparency—An Evaluation Process for an Agile AI Regulatory Scheme

David Benrimoh, Sonia Israel, Kelly Perlman et al.

2018 · 14 Zit.

A mixed-methods feasibility study of a novel AI-enabled, web-based, clinical decision support system for the treatment of major depression in adults

Sabrina Qassim, Grace Golden, Dominique Slowey et al.

2023 · 13 Zit.

Robust vs. Non-robust radiomic features: the quest for optimal machine learning models using phantom and clinical studies

Seyyed Ali Hosseini, Ghasem Hajianfar, Brandon Hall et al.

2025 · 6 Zit.

Evaluating the Perceived Utility of an Artificial Intelligence-Powered Clinical Decision Support System for Depression Treatment Using a Simulation Centre

Myriam Tanguay-Sela, David Benrimoh, Christina Popescu et al.

2021 · 2 Zit.

The Use of Artificial Intelligence for Personalized Treatment in Psychiatry

Sara Jalali, Qiong You, Victoria Xu et al.

2025 · 1 Zit.

A Mixed Methods Comparison of Artificial Intelligence-Powered Clinical Decision Support System Interfaces for Multiple Criteria Decision Making in Antidepressant Selection

Akiva Kleinerman, David Benrimoh, Grace Golden et al.

2022 · 1 Zit.

Correction: 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

Christina Popescu, Grace Golden, David Benrimoh et al.

2024 · 0 Zit.

BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods

Krzysztof J. Gorgolewski, Fidel Alfaro‐Almagro, Tibor Auer et al.

2017 · 0 Zit.