HIGHLIGHTS
- who: Tarig Elhakim and colleagues from the Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA have published the research: Role of Machine Learning-Based CT Body Composition in Risk Prediction and Prognostication: Current State and Future Directions, in the Journal: Diagnostics 2023, 968 of /2023/
- what: The use of these clinical data in conjunction with CT-based AI models will be an interesting direction, since their incorporation may aid in strengthening the analysis of body composition, which aims to better prognosticate patients for better clinical decision making and . . .
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