Digital Analysis of Patient Faces Could Inform Cancer Prognosis
Researchers in the United States have reportedly developed a sophisticated computational system capable of predicting a cancer patient's mortality risk by analyzing facial photographs. Trained on over 40 million images, this novel method identifies subtle visual cues that correlate with survival outcomes, potentially offering a new, non-invasive tool for personalized medical prognostication.