Lunit has extended its artificial intelligence (AI) efforts into the field of breast cancer, releasing real-world data (RWD) demonstrating promising results. Researchers used the AI to identify cancer from mammograms, beating a team of two radiologists in diagnostic accuracy. The data comes from a pool of nearly 56,000 patient mammograms. The research will be presented in several forms at the upcoming RSNA Annual Meeting.
According to PR Newswire, “Interpreting mammograms is an inherently difficult task. Once suspicious lesions are found through mammograms, women are recalled to the clinic for further tests and biopsies. While recalls are aimed to increase the detection of cancer, only fewer than 1 in 10 women called back are diagnosed with breast cancer. These false-positive mammograms can cause patient anxiety and physical discomfort, as well as cost significant time and money due to extra tests, potentially doing more harm than good. To tackle this problem, most European countries have adopted a system of double reading in which two radiologists decide whether the patient should be recalled or not.”
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(Source: PR Newswire, November 28th, 2022)
