Embracing the Future: My Journey into Artificial Intelligence in Radiology
Artificial intelligence (AI) is no longer a distant concept, it is rapidly becoming part of the day-to-day practice of radiology. As both a full-time clinical radiologist and an expert witness, I believe it’s essential to stay not only current but ahead of the curve.
Recently I enrolled in the RSNA AI Certificate Program, a structured curriculum developed by the Radiological Society of North America, including four separate certificate programs, including Advanced AI, Chest Imaging, and Emergency Imaging. This program focuses on how AI tools are being designed, validated, and implemented for real-world radiology workflows. It’s been eye-opening to explore how machine learning can assist with pattern recognition, triage of critical findings, and reduction of human error.
In parallel, I am currently pursuing Carnegie Mellon University’s Executive Leadership Certificate in AI locally in Pittsburgh. CMU is the global leader in artificial intelligence (USNews #1 in AI), and this program is designed to prepare professionals across industries to lead in an AI-driven world. For me, the overlap of medicine, technology, and leadership is an exciting intersection. Radiology sits directly in the crosshairs of AI adoption, and physicians must help guide how these tools are integrated into patient care and, ultimately, into evolving legal standards of care.
Looking ahead, I plan to explore the latest AI software platforms at RSNA 2025 in Chicago. My goal is to move beyond theory and into practical patient applications, testing and understanding tools that can assist radiologists in real time. Whether it’s algorithms that flag pulmonary emboli, detect subtle fractures, or triage bowel perforation cases, the potential for AI to improve speed, accuracy, and patient outcomes is enormous.
This journey is not just about education; it’s about positioning myself and by extension, my expert witness practice and the attorneys I work with, at the forefront of how radiology will look in the next decade. AI will influence how cases are read, how reports are structured, and how the “standard of care” is defined. My commitment is to ensure I am prepared for that reality, both in the reading room and in the courtroom.