CT-Based Body Composition Measures and Systemic Disease: A Population-Level Analysis Using Artificial Intelligence Tools in Over 100,000 Patients
B. Dustin Pooler, John W. Garrett, Matthew H. Lee, Benjamin E. Rush, Adam J. Kuchnia, R. Summers, Perry J. Pickhardt
Abstract
An understanding of the identified associations with common systemic diseases will be critical for establishing normative reference ranges as CT-based AI body composition tools are developed for clinical use.
Topics & Concepts
MedicinePopulationComposition (language)DiseasePathologyEnvironmental healthPhilosophyLinguisticsBody Composition Measurement TechniquesNutrition and Health in AgingRadiomics and Machine Learning in Medical Imaging