Machine learning for differentiating gastrointestinal stromal tumors from schwannomas by using CT

A study from Abdominal Radiology compared the capability of five machine learning versions, multivariate analysis and radiologists’ performance in differentiating between gastrointestinal stromal tumor and schwannomas. Among these methods, logistic regression based on the six most predictive variables provided the best diagnostic performance.