15 citations · 25 across the 3 of their papers we have counts for
3 papers
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
David Benrimoh, Caitrin Armstrong, Joseph Mehltretter +8
INTRODUCTION: The pharmacological treatment of Major Depressive Disorder (MDD) relies on a trial-and-error approach. We introduce an artificial intelligence (AI) model aiming to pe…
Towards Outcome-Driven Patient Subgroups: A Machine Learning Analysis Across Six Depression Treatment Studies
David Benrimoh, Akiva Kleinerman, Toshi A. Furukawa +17
Major depressive disorder (MDD) is a heterogeneous condition; multiple underlying neurobiological substrates could be associated with treatment response variability. Understanding…
Big Data Analytics and AI in Mental Healthcare
Ariel Rosenfeld, David Benrimoh, Caitrin Armstrong +14
Mental health conditions cause a great deal of distress or impairment; depression alone will affect 11% of the world's population. The application of Artificial Intelligence (AI) a…