Joseph Mehltretter

Psychology · Social Sciences

10h-index345citations30works2.92yr avg
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Research Topics

Mental Health Research Topics(20), Treatment of Major Depression(15), Digital Mental Health Interventions(14), Mental Health Treatment and Access(6), Machine Learning in Healthcare(6)

Publications30 total

Artificial Intelligence in Depression–Medication Enhancement (AID-ME)
The Journal of Clinical Psychiatry·2025· 4 cited
Development of the treatment prediction model in the artificial intelligence in depression – medication enhancement study
npj Mental Health Research·2025· 4 citedOpen Access
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 (AID-ME) Study
2024· 3 citedOpen Access
Artificial Intelligence in Depression – Medication Enhancement (AID-ME): A Cluster Randomized Trial of a Deep Learning Enabled Clinical Decision Support System for Personalized Depression Treatment Selection and Management
2024Open Access
Development of a differential treatment selection model for depression on consolidated and transformed clinical trial datasets
Translational Psychiatry·2024· 10 citedOpen Access
Artificial Intelligence in Depression – Medication Enhancement (AID-ME): A Cluster Randomized Trial of a Deep Learning Enabled Clinical Decision Support System for Personalized Depression Treatment Selection and Management
2024· 1 citedOpen Access
Development of a differential treatment selection model for depression on consolidated and transformed clinical trial datasets
2024· 4 citedOpen Access
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
JMIR Formative Research·2024Open Access
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 (Preprint)
2024Open Access
A mixed-methods feasibility study of a novel AI-enabled, web-based, clinical decision support system for the treatment of major depression in adults
Journal of Affective Disorders Reports·2023· 13 citedOpen Access
Towards Outcome-Driven Patient Subgroups: A Machine Learning Analysis Across Six Depression Treatment Studies
American Journal of Geriatric Psychiatry·2023· 18 cited
Towards Outcome-Driven Patient Subgroups: A Machine Learning Analysis Across Six Depression Treatment Studies
arXiv (Cornell University)·2023Open Access
A Mixed-Methods Feasibility Study of a Novel AI-Enabled, Web-Based, Clinical Decision Support System for the Treatment of Major Depression in Adults
2022· 3 citedOpen Access
Evaluating the perceived utility of an artificial intelligence-powered clinical decision support system for depression treatment using a simulation center
Psychiatry Research·2021· 51 citedOpen Access
Treatment selection using prototyping in latent-space with application to depression treatment
PLoS ONE·2021· 13 citedOpen Access
Treatment Selection Using Prototyping in Latent-Space with Application to Depression Treatment
CUNY Academic Works (City University of New York)·2021Open Access
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
JMIR Formative Research·2021· 38 citedOpen Access
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 (Preprint)
2021Open Access
Evaluating the Clinical Feasibility of an Artificial Intelligence-Powered Clinical Decision Support System: A Longitudinal Feasibility Study
2021Open Access
Evaluating the Perceived Utility of an Artificial Intelligence-Powered Clinical Decision Support System for Depression Treatment Using a Simulation Centre
2021· 2 citedOpen Access
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Frequent Co-authors

David Benrimoh(30), Robert Fratila(30), Kelly Perlman(28), Caitrin Armstrong(27), Sonia Israel(26), Gustavo Turecki(22), Jordan F. Karp(21), Christina Popescu(19), Sagar V. Parikh(17), Myriam Tanguay-Sela(16), Colleen Rollins(16), Howard C. Margolese(15), Katherine Heller(14), Eryn Lundrigan(12), Jerome D. Williams(12), Tamara Pérez(12), Emily Snook(11), Grace Golden(10), Kate Whitmore(10), Karl Looper(10)