Using artificial intelligence to help cancer patients avoid excessive radiation

A Case Western Reserve University-led team of scientists has used artificial intelligence (AI) to identify which patients with certain head and neck cancers would benefit from reducing the intensity of treatments such as radiation therapy and chemotherapy. The researchers used AI tools similar to those they developed over the last decade at the Center for Computational Imaging and Personal Diagnostics (CCIPD) at Case Western Reserve. In this case, they asked the computer to analyze digitized images of tissue samples that had been taken from 439 patients from six hospital systems with a type of head and neck cancer known as human papillomavirus (HPV)-associated oropharyngeal squamous cell carcinoma (OPCSCC). The computer program successfully identified a subset of patients who might have benefited from a significantly reduced dose of radiation therapy. While that analysis was retrospective--meaning the computer analyzed data from patients in which the eventual outcome was already known--the researchers said their next step could be to test its accuracy in clinical trials.