Researchers in Boston are on the verge of what they say is a major advancement in lung cancer screening: artificial intelligence that can detect early signs of the disease years before doctors would find it on a CT scan.
that this year there will be more than 238,000 new cases of lung cancer and more than 127,000 deaths.
There are more than 300 AI tools approved by the FDA for use in radiology, according to Anant Madabhushi, a professor in the department of biomedical engineering at the Emory University School of Medicine in Atlanta. Most are used to assist doctors in the diagnosis and treatment of cancer, he said, but not for predicting someone’s future cancer riskSybil looks for signs of where cancer is likely to turn up, so doctors know where to look and can then spot it as early as possible.
“This is great for radiologists, but more importantly, it’s really great for our patients to be able to give them that tool to tell them whether or not we think something is lung cancer,” she said.To predict cancer risk, Sybil relies on a single CT scan. It analyzes the three-dimensional image, looking for not only signs of abnormal growth in the lungs, but also other patterns or nuisances that scientists don’t fully understand yet, said Dr.
Fintelmann said he sees a future in which the AI tool is helping radiologists make important treatment decisions — not replacing radiologists altogether.
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