VIDEO: Who gets sued when radiology AI fails?
Brent Savoie, MD, JD, vice chair for radiology informatics, section chief of cardiovascular imaging, Vanderbilt University, explains who will get sued when there is a misdiagnosis due to artificial intelligence (AI). He spoke on this topic at the Society of Cardiovascular Computed Tomography (SCCT) 2022 meeting.
“The answer is everyone will get sued,” Savoie explained. "It's a big hairy issue."
He said this is mainly because there is a not a good regulatory framework for AI in the U.S. at this time. This means there is no guidance on how to deploy the technology safely and there are no clear protections from law suites that say "if you do this" you are not at risk, he explained.
He outlined that the physician could share responsibility when AI fails, since they are ultimately responsible for diagnosis and reporting. The AI vendor could be liable if the algorithm has a bug, or a built in bias or missing information. The IT department and hospital could be liable if the AI was not updated or there is a glitch caused by interactions with other software on the system. Savoie said the most likely result is everyone gets sued and it will be up to the courts to sort it out.
"This is all kind of a downer message I feel like I am giving, but I really am optimistic about the future of AI and I think creating these processes is essential for preserving that future, Savoie explained. "If you are at an institution and install something and you face an adverse outcome and it comes to litigation, it's going to be really difficult to get approval for a budget request for the next application."
Savoie said it needs to be stressed it hospital IT departments that AI applications are not just another imaging system software that is not FDA regulated, which is what most IT departments are more accustomed to. AI applications are FDA approved medical devices. This is important because he said IT departments need to prioritize updates and QA for AI apps because they might have a direct impact on clinical care.