FORUMS
Educating and training scientists on how the Center’s resources can aid their research
Forums are currently conducted in person and on Zoom. Please get in touch with our administrative manager to request an invite.
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Upcoming Forums
January 17, 2025. Equitable AI for Children’s Health and Rare Diseases
Dr. Marius George Linguraru will demonstrate 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.
Past Forums
Coronary Artery Calcium Detection from Dual-Energy Radiography
(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.Machine Learning Algorithms for In-Silico Virtual Imaging
(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.Opportunities and challenges in applying AI in healthcare: Lessons from radiology, oncology and ophthalmology
(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.Development of Digital Phantoms for Radiation Therapy Applications
(July 19, 2024) Dr. Lei Ren from the University of Maryland discusses the development and use of digital phantoms for motion management and treatment optimization in both photon and proton therapy.Unlocking the Power of AI: In Silico Trials in Chest Radiology
(June 21, 2024) Dr. Joseph Lo and Fakrul Islam Tushar from Duke University explore the transformative potential of AI for evaluating in silico clinical trials, focusing on three groundbreaking studies in chest imaging.
