AI model uses routine imaging to identify patients at risk for serious treatment-induced lung inflammation

Researchers at The University of Texas MD Anderson Cancer Center have developed an artificial intelligence (AI) model that can identify lung cancer patients at increased risk of developing a serious immunotherapy-related side effect before treatment begins, offering a possible path toward more personalized monitoring and prevention strategies.

Read it at Medical Xpress ↗

← Front page