
Victor Brodsky, MD
Associate Professor, Pathology & Immunology
Contact
- Email: victor.brodsky@wustl.edu
- Phone: 314-273-4692
Division: Anatomic & Molecular Pathology
Titles
Associate Medical Director of Information Systems
Education
BA, Boston University, Boston, MA, United States of America (Cum Laude, Accelerated Seven Year BA/MD Medical Program, undergraduate portion) (2001)
MD, Boston University School of Medicine, Boston, MA, United States of America (2005)
Resident, Anatomic Pathology, Mount Sinai Hospital, New York, NY, United States of America (2005-2008)
Invited Inaugural Fellow, Pathology Informatics, Massachusetts General Hospital / Partners, Boston, MA, United States of America (2008-2009)
Honor Society Memberships
Co-Chair of the Standards Committee of the Association for Pathology Informatics
Research Interests
Recent advances in information technology continue to unveil new opportunities to improve patient care. With the exponential growth of institutional and reference data, selecting the most impactful goals, efficient tools, and timely implementation of insightful strategy are extremely important to ensure progress and quality improvement. Medical Informatics is the discipline aiming to keep up to date with medicine, computer science, and a number of other fields to guide us to optimal decisions for healthcare quality, operational efficiency, clinical research, and medical education. From clinical decision support systems and machine learning applications, to optimizing workflows, anomaly detection, and developing novel whole slide image analysis algorithms, laboratory informatics presents a multitude of opportunities for positive impact on care quality.
Selected Publications
Generative Artificial Intelligence in Anatomic Pathology
Publication
Introduction to Generative Artificial Intelligence
Publication
Re: Limitations of the commercially available gene expression test in predicting cutaneous squamous cell carcinoma metastasis and clinical outcomes
Publication
Performance of Automated Classification of Diagnostic Entities in Dermatopathology Validated on Multisite Data Representing the Real-World Variability of Pathology Workload
Publication
Assistant
