Radiology: Artificial Intelligence

Radiology: Artificial Intelligence will host its second tweet chat on July 1, 2020, from 8:00 to 9:00 pm Eastern Daylight Time (U.S.), on the topic of interpretability of AI algorithms in radiology. The tweet chat will be moderated by Dr. Despina Kontos, deputy editor of this journal and associate professor of radiology at the University of Pennsylvania, and Dr. Aimilia Gastounioti, a research associate in the department of radiology at the University of Pennsylvania. The article discusses the methods that allow AI systems to explain their decisions through visualization, counterexamples, and semantics--and the many challenges to bring interpretability methods into clinical practice. Enhancing interpretability is essential to allow for AI systems to be trusted and verified for faster and more reliable adoption into clinical workflows. They explore whether patients and radiologists can better trust a model that explains its decisions, and how interpretability may accelerate the translation of deep learning tools into clinical practice.