Updated On: 14 January, 2023 02:30 PM IST | San Francisco | IANS
"Instead of assessing individual environmental or genetic risk factors, we`ve developed a tool that can use images to look at collective biology and make predictions about cancer risk," she added

Representational image. Pic/iStock
With lung cancer the leading cause of cancer death around the world, researchers have tested an AI tool known as "Sybil" that accurately predicts its risk for individuals with or without a significant smoking history, a new study has shown.
Based on analyses of LDCT (low-dose chest computed tomography) scans from patients in the US and Taiwan, Sybil accurately predicted the risk of lung cancer for individuals with or without a significant smoking history, according to the study published in the Journal of Clinical Oncology.