The TechnoPhysics Year: Transformation of Diagnostic Radiology's Clinical Year as a Matter of Necessity.

Given that artificial intelligence and machine learning is now a reality of modern existence, rapidly being applied to medicine, and especially radiology, we submit a new educational perspective. By codifying technology education during the diagnostic radiology internship, we believe it is not only possible but necessary, to reframe the identity of diagnostic radiology. This paper describes the restructuring of the radiology clinical internship, limiting clinical rotations to high-yield essentials, thereby allowing for the introduction of data and technology science, and comprehensive medical physics training. By linking modality-immersion based training with the physics of each technology, we postulate a more thorough understanding and, ultimately, the mastery of current and future technological innovations. Concurrently we advocate for the study of artificial intelligence and machine learning in order to understand how radiologists can apply this technology to help patients on the precision and population health levels. This training would allow interns to spend the majority of their time under the umbrella of a radiology department, in lieu of multiple rotations on an assortment of clinical services. An in-depth technology and physics exam at the end of the internship would be a natural transition to the start of the R1 year, allowing for the application of this newly attained knowledge throughout their residency. Diagnostic radiologists have led medicine into the digital era, and now we should lead the medical community into this transformational era as the "Data-Driven Physician" of the 21 century.