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Funded Projects for Artificial Intelligence, Machine Learning, and Deep Learning

Grant Number Project Title Principal Investigator Institution
1-R01-EB036987-01 AI-assisted quantitative photon-counting-detector CT imaging for cytogenetic risk prediction and treatment response in multiple myeloma Francis Baffour Mayo Clinic Rochester
5-R01-EB032807-03 AI-based Cardiac CT Hengyong Yu University of Massachusetts Lowell
1-R01-EB037526-01 AI-Driven Digital Pathology Tool for Evaluating Inflammation and Therapeutic Efficacy in Preclinical Models Maneesh Dave University of California at Davis
1-R21-EB037268-01 AI-driven hip exoskeleton control framework that rapidly generalizes to a broad range of users and real-world locomotor tasks Inseung Kang Carnegie-Mellon University
1-R41-EB038858-01 AI-enabled occult bleeding detection and monitoring Rosalind Sadleir Eit Usa, Inc.
1-R01-EB036528-01A1 AI-LIVER: Advancing Liver Transplantation through AI-Driven Outcome Prognostication and Normothermic Perfusion Data Exchange Aritz Irizar Icahn School of Medicine at Mount Sinai
1-R41-EB038146-01 An AI Enabled Training Tool for Complex Surgical Suturing Skills Qiuyan Xu Boston Ai Llc
1-R01-EB035679-01A1 An AI-Assisted Strategy for Monitoring Pulmonary Congestion in Acute Heart Failure Patients in Emergency Settings Tina Kapur Brigham And Women'S Hospital
1-R01-EB036877-01 An Artificial Intelligence Coaching System to Improve Surgical Performance in Urologic Endoscopy Roger Daglius Dias Brigham And Women'S Hospital
1-R01-EB037669-01 Automated Multi-Timepoint CT Analysis for Enhanced Metastatic Disease Evaluation in Colorectal Cancer: An Anatomy-Aware Vision-Language AI Approach Kang Wang University of California, San Francisco