FORUMS

(March 21, 2025) Dr. Kirti Magudia from Duke University demonstrates how CT-based body composition analysis techniques using deep learning provide quantification of skeletal muscle, visceral fat, and subcutaneous fat, which have been correlated with overall survival, cancer-related outcomes, and cardiovascular events, among other clinical outcomes.

(January 17, 2025) Dr. Marius George Linguraru from the Children’s National Hospital gives an overview on how artificial intelligence may be the greatest tool we have for improving the quality of and access to medical care for children, especially those most vulnerable to health inequities.

(November 15, 2024) Adam Wang from Stanford University gives an overview on how coronary artery calcification (CAC) is a key indicator of cardiovascular risk and is currently measured using cardiac CT.

(October 18, 2024 )Dr. Tarokh from Duke University gives an overview on how rapid acceleration in medical imaging technologies has increased the complexity of evaluating and optimizing new imaging technologies through clinical imaging trials due to associated expenses, time requirements, difficulty accruing subjects, ethical limitations, etc.

(September 13, 2024) Jayashree Kalpathy-Cramer from the University of Colorado School of Medicine gives an overview of how artificial intelligence and machine learning have the potential to greatly transform healthcare. We will begin by highlighting a few applications in radiology, oncology, and ophthalmology.