Artificial intelligence is reportedly advancing research in the fight against cancer.
Dr. Laurie Margolyes, director of breast imaging at Mount Sinai Health System, told CBS News this week that the technology is being used to detect breast cancer.
“Artificial intelligence has the ability to make us even better doctors than we otherwise would be, because it can tell us what the risk factors are and why certain patterns of breast tissue are at higher risk.” I think there is,” she explained. A mammogram can see things that the naked eye misses.
“It’s the AI that makes the first pass. The AI puts the mammograms into one of three buckets. One bucket the computer thinks is very unlikely to have cancer here, and then the “Here’s cancer. Look carefully. And on these mammograms, there’s a high range that indicates a high risk of cancer.” Look really carefully at the spots we marked,” said Margolyes.
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Exterior of Mount Sinai Hospital and Medical Center, February 21, 2012, New York City. (Ben Hyder/Getty Images)
Physicians look at patient history and old mammograms as integrated information with artificial intelligence.
“AI doesn’t tire. It doesn’t get distracted. And there’s a kind of error in radiology called ‘search satisfaction,’ where if you find cancer on one side, you’re less likely to find it.” It might be. I think, ‘Oh, I’m done. I’ve found cancer. .
The radiology department was awarded the Koios DS Breast, an AI-powered ultrasound reading software platform that can detect cancer in 2 seconds.
Physician performing a mammogram as part of a routine cancer prevention checkup in a French clinic. (Reuters/Eric Gaillard)
Mount-Sinai says the software will ensure advanced technology that helps doctors make quick and accurate diagnoses and reduce the number of biopsies.
Koios DS Breast uses artificial intelligence and machine learning algorithms to compare ultrasound with an archive of hundreds of thousands of images from patients with confirmed benign or malignant diagnoses worldwide.
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Such features are important for women with dense breasts, where cancer is difficult to detect.
Nearly 50% of women over the age of 40 have dense breast tissue, and mammography misses more than half of the cancers present in these people.
Such women often require an ultrasound to obtain images of the hard-to-see areas of the breast.
Dr Raj Jenna, an oncologist at Cambridge University Hospitals NHS Foundation Trust, led the study using the AI system OSAIRIS. (Microsoft)
However, doctors say it is still important to continue annual screenings and mammograms.
Breast cancer is the second most common cancer among women in the United States.
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Researchers are also using AI models to detect colorectal cancer, including one with an average accuracy of 90% reported by the University of Minnesota.
In the UK, advances in AI are reducing wait times for radiotherapy in Cambridge hospitals.
Microsoft says the system, dubbed OSAIRIS, can develop treatment plans more than twice as fast as specialists working alone.
