Michael Spektor

Michael Spektor, MD, is an Associate Professor of Radiology and Biomedical Imaging at the Yale School of Medicine. His expertise lies at the intersection of medical imaging and artificial intelligence, with a focus on improving diagnostic accuracy and reducing unnecessary procedures. He holds academic appointments in Abdominal Imaging, Body Imaging, Clinical Radiology, and Ultrasound. Dr. Spektor completed his MD at Albert Einstein College of Medicine, followed by residency at North Shore-LIJ Health System and a fellowship at Yale University. His research involves developing machine learning models to optimize prostate biopsy protocols, collaborating with institutions like the Pancreatic Diseases Program. His work emphasizes translational applications of AI in clinical decision-making.

Education:

• MD, Albert Einstein College of Medicine (2005)
• Internship, Winthrop University Hospital (2006)
• Residency, North Shore-LIJ Health System (2010)
• Fellowship, Yale University (2011)

Research Interests:

Dr. Spektor's research integrates advanced imaging techniques with machine learning to address clinical challenges in urology and oncology. His recent work evaluates AI-driven models to minimize unnecessary prostate biopsies while maintaining diagnostic sensitivity. Key areas include:

• Prostate Cancer Imaging
• Multimodal Image Analysis
• Clinical Workflow Optimization

Labs/Teams:

He contributes to collaborative initiatives within the Yale School of Medicine, including the Abdominal Imaging and Ultrasound divisions, and collaborates with multidisciplinary teams such as the Pancreatic Diseases Program to advance interventional and diagnostic strategies.