The RSNA and four other radiology societies have issued a joint statement on the development and use of AI in radiology.
The statement is a collaborative effort between the RSNA, the American College of Radiology (ACR), the Canadian Association of Radiologists (CAR), the European Society of Radiology (ESR), and the Royal Australian and New Zealand College of Radiologists (RANZCR). It was written by a team led by Adrian Brady, MD, chair of the ESR Board of Directors, and published January 22 in the RSNA journal, Radiology: Artificial Intelligence.
The paper "defines the potential practical problems and ethical issues surrounding the incorporation of AI into radiology practice," the RSNA said, and delineates "the main points of concern that developers, regulators, and purchasers of AI tools should consider prior to their introduction into clinical practice" and offers "methods to monitor the tools for stability and safety in clinical use, and to assess their suitability for possible autonomous function."
"This statement will serve as both a guide for practicing radiologists on how to safely and effectively implement and use the AI that's available today, and a roadmap for developers and regulators on how to approach delivering improved AI for tomorrow," said co-author John Mongan, MD, PhD, of the University of California, San Francisco and chair of the RSNA Artificial Intelligence Committee.