A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.
n this study, 773 untreated breast cancer patients from all over China were collected and followed up for at least 5 years. We obtained clinical data from 773 cases, RNA sequencing data from 752 cases ...
For the first time, researchers have used machine learning—a type of artificial intelligence (AI)—to identify the most ...
UT biochemistry major Milit Patel collaborated with researchers at Memorial Sloan Kettering Cancer Center on research published in a top cancer journal.
Development and validation of a webcam-based tool to assess tongue motility and its correlation with speech intelligibility and swallowing following tongue cancer surgery. Time Window AUC Brier Score ...
The integration of artificial intelligence (AI) with imaging has emerged as a transformative force in the field of oral oncology. Oral cancer remains a ...
A team of researchers at Boston-based Massachusetts General Hospital in collaboration with Cambridge, Mass.-based MIT’s Computer Science and Artificial Intelligence Laboratory developed a machine ...
AI has revealed why cancer survival differs so dramatically around the world, highlighting the specific health system factors that matter most in each country.
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