Head and neck cancer researchers demonstrate the ability of a deep learning algorithm in the post-operative setting to more accurately assess disease stage using standard CT scans

Head and neck cancer researchers demonstrate the ability of a deep learning algorithm in the post-operative setting to more accurately assess disease stage using standard CT scans

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image: ‘This type of research is critical because it can help identify patients with aggressive, high-risk head and neck cancer, and also select appropriate patients for therapeutic de-escalation,’ says Dr Benjamin Kann, who led the study. see After Credit: Artificial Intelligence in Medicine Program, Brigham and Women’s Hospital According to researchers from the ECOG-ACRIN Cancer …

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