Conference on Artificial Intelligence in Medical Imaging

AI-Enabled Prediction of Postoperative Sepsis in Hemodialysis Patients undergoing IR Interventions  (opens in new tab)

• Krishnaveni Parvataneni, Massachusetts General Hospital 
• David C. Schramm, MBBS; Jie Cui, MD; Christopher P. Bridge, DPhil; Dania Daye, MD, PhD 

 

An Automated, Open-Source Pipeline for Quantitative Pulmonary Vascular Phenotyping from Chest CT: Detection of Vascular Remodeling in Dermatomyositis(opens in new tab)  

• Graham E. McPhail, North Carolina State University 
• Matthew Stib, MD 

 

Automated Aortic Strain Mapping with Spectral Robustness Quantification from 4D CT (opens in new tab)

• Tricia Lobo, MS, University of Pennsylvania 
• Wensi Wu, PhD, MS; Harold I. Litt, MD, PhD; Melanie Freas, DNP, CRNP; Victor Ferrari, MD; Joseph E. Bavaria, MD; Nimesh D. Desai, MD, PhD; Alison M. Pouch, PhD 

 

Closing the Loop at the Bedside: Real-Time AI Feedback Design for Cardiac Ultrasound Guidance in a Multi-Team Medical-AI Platform(opens in new tab)  

• Jilei Hao, University of Pennsylvania 
• Trevor J. Chan, MS; Zaiyang Guo; Ningjun J. Dong; Emily J. Mackay, DO, MS; Enrique Dunn, PhD; Andrew Owens, PhD; Sethu Reddy, MD; Steve Vance, MD; Jason J. Corso, PhD; Alison M. Pouch, PhD 

 

Fully Automated Left Ventricular Segmentation with LoRA-Adapted UltraSAM and Learned Prompt Generation(opens in new tab)  

• Ryan Chang-Wu, Belmont Hill School 
• Kaan Sel, PhD