Gregg Khodorov, MD, MBA, PGY-2 Integrated Interventional/Diagnostic Radiology Resident, Thomas Jefferson University Hospital, and Varun Danda, BS, MS4, Sidney Kimmel Medical College Thomas Jefferson University
American College of Radiology® (ACR®) Medical Student Subcommittee Artificial Intelligence and Machine Learning (AI/ML) Co-Leads
Gregg Khodorov, MD
Varun Danda, BS
Radiology, as a field of medicine, has undergone several paradigm shifts over the course of history. In a specialty so fundamentally rooted in technological advancement, this is only natural. Every day, radiologists, medical physicists and engineers work to make incremental technological improvements that ultimately improve the lives of our patients. It is rare, however, to have an entirely new discipline unto itself infiltrate the field of radiology the way artificial intelligence/machine learning (AI/ML) has.
The ACR Medical Student Subcommittee (MSS) recognizes that the impending technological wave that AI/ML will bring to our specialty will require preparing future radiologists — and more broadly all future physicians — to continue to play the role of clinical expert when it comes to incorporating these technologies. This will require training all radiologists in basic principles of AI/ML.
The opportunities for young radiologists to become involved in AI/ML initiatives at their training institutions and beyond will be abundant, and we want to make sure you and your peers are ready. That’s why this year, the AI/ML team of the ACR MSS is developing a core curriculum dedicated to training future AI/ML-savvy radiologists. In addition to expert panels, we plan to provide a free, open-access course which can be taken entirely online, vetted by experts in the field of radiologic artificial intelligence and machine learning.
Currently, we are recruiting interested students to help us build the curriculum and content. If you are interested, please sign up to be a MSS Rad Reserve Member. To read about or listen to our first AI panel visit the 2021 Virtual Symposium Videos page.
The future of radiology is AI/ML, and the future of radiology is you. Help us usher in the future of our specialty!