Breast cancer is the most common cancer among adults, with more than 2.3 million cases diagnosed each year, according to the World Health Organization. In most countries, the illness is one of the top two leading causes of cancer deaths in women.To increase screening capacity and better identify high and low risk breast cancer, two recent studies show that specific applications of artificial intelligence performed similarly to highly trained radiologists.
Kristina Lång is the lead author on a randomized control trial out of Sweden that compares the results from at an AI-supported screening group and one with two radiologists.in the journal Radiology, found that radiologists and AI came to similar conclusions after reviewing the same mammograms. In the AI-supported group, the software triaged the scans by determining which ones were of low risk and needed only one radiologist to look at them, or high risk, requiring two radiologists.
"We want to call only those patients that really have cancer, but there's a fine line that we have to balance," said Seely, who is also a radiology professor at the University of Ottawa. Dr. Mojola Omole, a breast oncologist and surgeon in Ontario's Scarborough Health Network, also thinks AI shows promise for the future, but she's concerned with the technology's ability to detectDr. Mojola Omole is a breast surgical oncologist and a general surgeon with the Scarborough Health Network. She's also a member of the Black Physicians' Association of Ontario.
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