AI for Clinical Prediction and Workflow Enhancement | Scientific Abstract Presentations

A Flexible nnU-Net–Based Framework for Radiotherapy Dose Prediction Across Diverse Beam Geometries and Prescriptions 

  • Ho-hsin (Rita) Chang, University of Alabama at Birmingham 
  • Rex Cardan, PhD; John Fiveash, MD; Samantha Simiele, PhD; Joseph Harms, PhD; Bodduluri Sandeep, PhD; Richard Popple, PhD; Carlos E. Cardenas, PhD 

 

Automated MRI-Based Classification of Tumor Progression in Diffuse Midline Glioma Using Neural Networks 

  • Atlas Haddadi Avval, MD, University of California, San Francisco 
  • Evan Bloch; Pierre Nedelec, MS; Brian Nguyen; Andreas Rauschecker, MD, PhD 

 

Baseline Radiomics Model Outperforms RECIST and Clinical Biomarkers in Stratifying Overall Survival in HNSCC Patients Receiving Standard-of-Care Immunotherapy 

  • Lauren Brady, PhD, Genmab 
  • Omid Haji Maghsoudi, PhD; Deepti Nagarkar, PhD; Morteza Rezanejad, PhD; Teng Jin Ong, PhD; Brandon Higgs, PhD; Kai Zhang, PhD; Rhea Chitalia, PhD; Trishan Arul, MA; Anant Madabhushi, PhD; Nathaniel Braman, PhD 

 

First Evaluation of AI-Assisted Preliminary Report Drafting in Abdomen–Pelvis CT: Effects on Agreement, Confidence, and Mental Demand 

  • Pranav Rajpurkar, PhD, a2z Radiology AI 
  • Deepanshu Jindal; Julian N. Acosta, MD; Siddhant Dogra, MD; Pooja Jain, MD; Quirin D. Strotzer, MD; Lukas Müller, MD, PhD; Lucas Bijnens, MD; Srivardhan Vanka, MD, MBBS; Viswanathan Murugaiah, MD; Su Hwan Kim, MD; Divya Buchireddygari, MBBS; João Abrantes, MD; Michael Moritz, MD; Jenanan Vairavamurthy, MD; John Fahrner, MD; Samir Rajpurkar, MS 

 

In-Context Prior-Data-Fitted Networks for Robust Stroke Outcome Prediction in Tabular Data 

  • Dayeong An, PhD, Northwestern University 
  • Chaochao Zhou, PhD; Syed Faruqui, PhD; Ramez Abdalla, MD, PhD; Ali Shaibani, MD; Sameer Ansari, MD, PhD; Donald Cantrell, MD, PhD 

 

Tag-Free Myocardial Function Analysis from Cine MRI via Spatiotemporal Motion Estimation 

  • Dayeong An, PhD, Northwestern University 
  • Zuheng Kang, MS; El-Sayed Ibrahim, PhD; Donald Cantrell, MD, PhD 

Objectives

Define & critically evaluate emerging theories, methods, and applications in medical imaging informatics research 

Identify opportunities and challenges in translating research-driven AI and informatics advances into clinical practice

Discuss the potential impact of medical imaging AI innovations on patient outcomes, population health, and the future direction of the field

SESSION ID

1006


DATE

MON, OCT 20


TIME

4:00 PM – 5:30 PM PT


LOCATION

The Beach Room


CONTINUING EDUCATION

ASRT-RT | CAMPEP-MPCEC | SIIM IIP-CIIP