Real-World Performance, Bias, and AI Governance | Scientific Abstract Presentations

Automated Shoulder Radiograph Analysis: Cascade Deep Learning for Standardized Grashey View Assessment and Quality Control 

  • Changhyun Park, MSc, St. Jude Children's Research Hospital 
  • Keewon Shin, PhD; Junseong Lee; Seung Min Ryu, MD, PhD 

 

Demographic Bias in Chest X-Ray Foundation Models: Disparities in Underdiagnosis and Overdiagnosis from Embedding-Based Classification 

  • Mohammadreza Chavoshi, MD, Emory University 
  • Frank Li, PhD; Hari Trivedi, MD; Theo Dapamede, MD, PhD; Aawez Mansuri, MS; Rohan Satya Isaac, MS; Bardia Khosravi, MD, MPH, MHPE; Janice Newsome, MD; Judy Gichoya, MD, MS, FSIIM 

 

Estimating the Causal Effect of Photon counting detector CT on AI Performance in an Outpatient Oncology Setting Using Counterfactual Comparisons with Dual Energy CT 

  • Yin Xi, PhD, UT Southwestern Medical Center 
  • Kiran Batra, MD; Michael Long, MS; Xinhui Duan, PhD; Ron Peshock, MD 

 

Evaluating the Clinical Utility and Diagnostic Impact of AI Triage for Incidental Pulmonary Embolism (IPE) 

  • Aawez Mansuri, MS, Emory University 
  • Mohammedreza Chavoshi, MD; Theo Dapamede, MD, PhD; Dan Cohen, MD; Ninad Salastekar, MD; Wasif Bala, MD; John Moon, MD; Hanssen Li, MD; Chad Robichaux, MPH; Bardia Khosravi, MD, MPH, MHPE; Frank Li, PhD; Rohan Issac, MS; Beatrice Brown-Mulry; Janice Newsome, MD; Judy Gichoya, MD, MS, FSIIM; Hari Trivedi, MD 

 

Long-term Real-world Performance of a Pulmonary Embolism Detection and Re-prioritization Algorithm 

  • Yin Xi, PhD, UT Southwestern Medical Center 
  • Michael Long, MS; Kiran Batra, MD; Xinhui Duan, PhD; Ron Peshock, MD 

 

Real-World Performance Evaluation of a Commercial Deep Learning Model for Intracranial Hemorrhage Detection: Anatomical and Demographic Analysis 

  • Mohammadreza Chavoshi, MD, Emory University School of Medicine 
  • Aawez Mansuri, MS; Judy Gichoya, MD, MS, FSIIM; Theo Dapamede, MD; Dan I.G. Cohen-Addad, MD; Ninad V. Salastekar, MD; Hanzhou Li, MD; Wasif Bala, MD; John T. Moon, MD; Bardia Khosravi, MD, MPH, MHPE; Frank Li, PhD; Chad Robichaux, MPH; Beatrice Brown-Mulry, MS; Rohan Satya Isaac, MS; Hari Trivedi, MD 

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

1003


DATE

MON, OCT 20


TIME

10:45 AM – 12:15 PM PT


LOCATION

The Beach Room


CONTINUING EDUCATION

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