Rate My Professor David Dreizin

Dreizin's research interests include blunt and penetrating torso trauma, cervical spine trauma, pelvic trauma, quantitative imaging and volumetric analysis, and probabilistic modeling. On May 22, 2024, he founded the University of Maryland Trauma Radiology Artificial Intelligence Lab (TRAIL) to promote timely, accurate diagnosis for hemorrhage-related injuries in trauma victims using computer vision and machine learning. He has led numerous projects to detect and grade injuries, quantify injury severity, and predict clinical outcomes, with emphasis on explainable approaches and personalized precision diagnostics. His efforts are supported by an NIH R01 grant for human-centered CT-based CADx tools for traumatic torso hemorrhage (2023-2027) and the Radiological Society of North America R&E Foundation Scholar Grant (2016-2018). Key publications comprise 'Blunt polytrauma: evaluation with 64-section whole-body CT angiography' (Radiographics, 2012), 'Multidetector CT for penetrating torso trauma: state of the art' (Radiology, 2015), 'Multidetector CT of blunt cervical spine trauma in adults' (Radiographics, 2014), 'Penetrating Colorectal Injuries: Diagnostic Performance of Multidetector CT with Trajectography' (Radiology, 2016), 'Multidetector CT of mandibular fractures, reductions, and complications: a clinically relevant primer for the radiologist' (Radiographics, 2016), and 'Artificial intelligence CAD tools in trauma imaging: a scoping review' (Emergency Radiology, 2023).