AI estimates lung cancer mortality on x-rays
Researchers led by Dr. Jacob Weiss of Massachusetts General Hospital developed a convolutional neural network (CNN) model to estimate the risk of lung disease mortality using a chest radiograph as the only input. In a test on three datasets comprising more than 15,000 individuals, the model performed well.
“Our findings motivate the use of deep learning to identify individuals at high risk of lung disease mortality from easily obtainable and low-cost chest radiograph images,” the group wrote. The study was published May 16 in Nature Communications.
Chest x-ray is a common preliminary…
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