Emory Breast Imaging Dataset (EMBED) v2 – a Racially Diverse, Multi-modal Dataset of 1.2M Breast Imaging Exams and Associated Histopathology 

Rohan Satya Isaac, MS, Senior Data Analayst, School of Medicine, Emory University 
Beatrice Brown-Mulry; Aawez Mansuri, MS; Theo Dapamede, MD, PhD; Chad Robichaux, MPH; Frank Li, PhD; Mohammedreza Chavoshi, MD; Judy Gichoya, MD, MS, FSIIM; Hari Trivedi, MD  

From Data RAGs to Riches: Harmonizing MRI Sequence Classification with LLMs 

Briana Malik, Researcher, St. Jude Children’s Research Hospital 
Dharmam Savani, MS; Asim Bag, MBBS, MD, EDiNR; Silu Zhang, PhD; Paul Yi, MD 

Multi-stage Multimodal Deep Learning for Harmonization of Radiology Study Descriptions 

Zihan Li, PhD Student, University of Washington 
Paul Kinahan 

Robust Uncertainty-Informed Glaucoma Classification Under Data Shift 

Homa Rashidisabet, PhD, Research Assistant Professor, University of Illinois Chicago
V. Paul Chan, MD, MSc, FACS; John H. Panton, MD; Thasarat Vajaranant, MD, MHA; Darvin Yi, PhD

Sharpness Matters. Rethinking the Impact of Image Resolution on Medical Image Classification 

Aditya Vikas Kulkarni, MSc, Software Developer 2, Radiology, St. Jude Children’s Research Hospital 
Paul Yi, MD  

Using Point-of-Care Visible Light Imaging to Quantify Misidentification Errors in Portable Radiography 

Srini Tridandapani, MD, PhD, MSCR, Chair of Radiology, Radiology, University of Alabama at Birmingham 
Carson Wick, PhD; Nabile Safdar, MD, MPH, FSIIM