Catch up on the top AI-related news and research in radiology over the past month.
Diagnostic Imaging's Advances in AI monthly roundup is your chance to catch up on the latest AI news, AI-powered imaging modalities and emerging AI research affecting the field of radiology. Review the slideshow below to see highlights from the past month.
Deep Learning Model with DCE-MRI May Help Predict Proliferative Hepatocellular Carcinoma
May 20th 2024Incorporating dynamic contrast-enhanced MRI, a deep learning model demonstrated a 20 percent higher AUC in external validation testing than clinical factors alone and over a 17 percent higher AUC than radiological factors alone in predicting proliferative hepatocellular carcinoma (HCC).
Multicenter CT Study Shows Benefits of Emerging Diagnostic Model for Clear Cell Renal Cell Carcinoma
May 15th 2024Combining clinical and CT features, adjunctive use of a classification and regression tree (CART) diagnostic model demonstrated AUCs for detecting clear cell renal cell carcinoma (ccRCC) that were 15 to 22 percent higher than unassisted radiologist assessments.