Regina Barzilay

"Many of today’s successful applications of artificial intelligence (AI) in medical imaging focus on the automation of tasks that radiologists can do."

"As the field matures, I hypothesise that AI models will be able to answer many questions that are challenging for physicians."

"What is the risk of getting a future disease."

"What is the efficacy of a certain treatment."

"How is a certain disease going to progress."

"I cannot imagine healthcare without a human physician in the loop."

"While AI imaging tools can certainly bring many benefits, they are not perfect. Their best utilisation will depend on how well they are integrated into the clinical pipeline."

"It is up to human experts to design safe and effective protocols."

"I predict that as these imaging models continue to develop, a lot of low-level tasks will be delegated to AI."

"The ultimate responsibility for clinical decisions will remain with physicians."

"To bring AI-imaging tools into a clinical setting, it is essential to have the agreement of physicians."

"AI is not part of the curriculum in most medical schools."

"This lack of background makes it challenging for physicians to adopt and trust this new technology."

"I think that in cancer and in many other diseases."

"The big question is always, how do you deal with uncertainty."

"It's all the matter of predictions."

"Today, we rely on humans who don't have this capacity to make predictions."

"Many times people get wrong treatments or they are diagnosed much later."