15 citations · 32 across the 4 of their papers we have counts for
4 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…
Applying Artificial Intelligence to Clinical Decision Support in Mental Health: What Have We Learned?
Grace Golden, Christina Popescu, Sonia Israel +5
Clinical decision support systems (CDSS) augmented with artificial intelligence (AI) models are emerging as potentially valuable tools in healthcare. Despite their promise, the dev…
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…