Clinical Educators Faculty Development Module (On-Demand)-Panel Discussion: AI in Specialty Practice Final Recording

Video Transcription

Video Summary

The panel introduced four physicians discussing AI in their specialties: gastroenterology, telemedicine/urology, obstetrics-gynecology/osteopathic medicine, and cardiology. Dr. Nicole Albert explained how AI is transforming GI care through polyp detection, Barrett’s esophagus surveillance, early cancer detection, hepatology risk modeling, inflammatory bowel disease monitoring, scheduling optimization, automated documentation, and prior authorization support. She emphasized that AI should act as a second observer, not replace endoscopist judgment.<br /><br />Dr. Lisa Finkelstein shared insights from an MIT AI-in-healthcare course and described how AI can support medical education and urology. She stressed understanding how AI works, validating tools, and teaching students to use AI skeptically and responsibly. She also noted that AI is expanding in image-based procedures, robotics, workflow, and telehealth.<br /><br />Dr. Matthew Shelnut focused on obstetrics, gynecology, and osteopathic manipulative medicine, promoting a “reason first, AI second, verification always” approach. He said AI can support documentation, simulations, and diagnostic reasoning, but cannot replace palpation, clinical judgment, or emergency decision-making.<br /><br />Dr. Jason Kaplan highlighted cardiology advances in AI for echocardiography, cardiac MRI, cardiac CT, and ECG interpretation. He described AI’s ability to improve measurements, detect silent atrial fibrillation, identify cardiomyopathies, and find obstructive myocardial infarctions earlier.<br /><br />Overall, the panel agreed AI is a powerful tool for pattern recognition and efficiency, but must complement—not replace—clinical reasoning and foundational skills.

Asset Caption

Panel 1_AI in Specialty Practice Final Recording

Keywords

artificial intelligence

gastroenterology

telemedicine

obstetrics gynecology

cardiology

medical education

clinical decision support

diagnostic imaging

workflow optimization