AI tool evaluates cancer patient status from a selfie

A recent study revealed that artificial intelligence technology can assist in assessing the condition of cancer patients by analyzing a single selfie of their face. Experts from Massachusetts General Hospital developed a system that relies on facial feature analysis to estimate the patient's biological age or predict cancer survival prospects directly, based on more than 40 million training images. The results showed a correlation between the facial-derived biological age and mortality rates, where patients whose estimated biological age was five years or more older than their chronological age were 21% more likely to die within four years. This technology could help doctors evaluate patients before treatment, especially as the need for assessing the capacity to withstand intensive therapies increases. However, further verification is still required before widespread use, and it remains a supplementary tool that necessitates comprehensive medical evaluations.

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