Event Speaker
Mohammadreza Chavoshi, MD
Postdoctoral Research Fellow
Department of Radiology, Emory University
Mohammadreza Chavoshi is a radiologist and dedicated postdoctoral researcher at Emory University, specializing in AI applications in radiology. He plays a pivotal role in bridging the gap between cutting-edge AI innovations and practical clinical challenges, striving to integrate advanced computational techniques into daily radiological practice. Passionate about improving patient outcomes, he investigates the fundamental mechanisms underlying deep-learning failures in clinical conditions. His work not only drives the evolution of diagnostic imaging but also paves the way for more reliable and transparent AI systems in healthcare. Through collaborative efforts, he continues to shape the future of radiology with innovation and integrity.
Sessions
Breakthroughs in Disease Detection: From Imaging Biomarkers to Automated Diagnostics Scientific Research Abstracts
A Combined Deployable End-to-end Automated AI Detection and Quantitative Visualization Pipeline for Hemothorax on Admission Trauma CT Mehrdad Salimitari, PhD, Postdoctoral Fellow, University of Maryland School of Medicine Ankush Jindal, MD, MS; Uttam Bodanapally, MD; Lei Zhang, PhD; Wayne LaBelle; Guang Li, PhD; Bhavya Reddy; Ozerk Turan; Gabrielle Dickerson; Abigail Corkum; Melike Harfouche, MD; David…
Charting New Frontiers: Innovative Technologies in Imaging Informatics Scientific Research Abstracts
Comparing General Vision Transformer Embeddings versus Task-Specific Deep Learning Models for Knee Osteoarthritis Grading Mohammadreza Chavoshi, MD, Postdoctoral Research Fellow, Department of Radiology, Emory University Frank Li, PhD; Theo Dapamede, MD, PhD; Bardia Khosravi, MD, MPH; Aawez Mansuri, MS; Rohan Satya Isaac, MS; Janice Newsome, MD; Hari Trivedi, MD; Judy Gichoya, MS, MD, FSIIM …