Lunch & Visit Scientific Posters + AI Builder Showcase Video Display

AI Builder Showcase Video Display

A Rule-Validated Editing Tool for Faster, More Reliable Oncology Radiology Report (opens in new tab)

  • Igor Austin Martins, MD, MBA, UT Southwestern Medical Center 

 

An Immersive Spatial Anatomy Learning Platform Using High-Fidelity 3D Photogrammetry, Visage Ease VP, and Apple Vision Pro (opens in new tab)

  • Edouard Aboian, MD, Yale School of Medicine 
  • Kirsten Cooper, MD; Taylor Corsi, MD; Charles Duncan, MD; MingDe Lin, PhD; Stefan Schenke, PhD; William Stewart, MD; YE Xu, PhD; Saeed Juggan 

 

AnnotationBridge: Student Volunteers for Medical Image Annotation (opens in new tab)

  • Mason Williams & Ajay Sutaria; DuPont Manual High School 

 

Automated Sagittal MRI Morphometry for Signs of Intracranial Pressure Dysregulation (opens in new tab)

  • Isaac Anthony, University of Utah 
  • Troy Hutchins, MD; Miriam Peckham, MD; Kazem Hasemizadeh, PhD; Tyler Richards, MD 

 

CXR Insight Lab: An Auditable Multimodal AI Workbench for Transparent Chest X-Ray Interpretation (opens in new tab)

  • Seema Singh Saharan, PhD, UCSF 
  • Rachel Johansson, MD; Iris Liu, MD; Beck Olson; Rajesh Shah, MD 

 

NeuroMetrics: Automated Registration and Subtraction for Longitudinal Brain Imaging Assessment (opens in new tab)

  • Lucas I. Becker, MD MSc, University Medical Center Freiburg
  • Horst I. Urbach, MD 

 

NeuroQC-Assist: AI-Assisted Neuroimaging Quality Control (opens in new tab)

  • Sai Krishna C. Annavazala, MS, University of Pennsylvania 
  • Nima Broomand Lomer, MD; Tyler Spears, PhD; Drew Parker; Ragini Verma, PhD 

 

Neurorad Lecturer LLM Agent: Evaluation and development of a Neuroradiology Teaching LLM Agent for Trainee Case Practice(opens in new tab) 

  • Sevcan Turk, MD, University of Pennsylvania 

 

(opens in new tab)RadFeedback: Generate Individualized Trainee Feedback using Large Language Models for Analysis of Preliminary-to-Final Radiology Report Changes(opens in new tab) 

  • Piyush Goyal, DO, University of Utah 
  • Rachel Dou, MD; Sarah Teruya, MD; William Auffermann, MD, PhD 

 

Smart Atlas – Search Your Archive with Visual Index (opens in new tab)

  • Barbara Klaudel, PhD Student, Emory University 
  • Aleksander Obuchowski, MA 

 

Spinning the Data Engine: From Data Curation, to Model Validation, to Clinical Trials with an In-House Review Portal (opens in new tab)

  • Nicholas Molina, Penn Medicine 
  • Kelechi Obike; Jonathan Cheng; Rafe McBeth, PhD 

Scientific Posters

A 3D Merlin-Based Vision-Language Model for Multi-Injury Detection in Trauma CT Using Report-Grounded Supervision(opens in new tab) 

  • Mehrdad Salimitari, PhD, University of Maryland Baltimore 
  • Taiyu Zhang, PhD; Cameron May, MS; Guang Li, MD; David Dreizin, MD 

 

Analysis of Histopathology Data Drift in an Eight-year Cohort Reveals Laboratory and Instrumentation-induced Variability (opens in new tab)

  • Mathew Francis, PhD, Perelman School of Medicine, University of Pennsylvania 
  • Arian Arab, PhD; Rohan G. Chandraghatgi; Wenchao Han, PhD; Christopher A. Garcia, MD; David E. Breen, PhD; Fernando U. Garcia, MD; Mark Zarella, PhD 

 

Anatomy-Grounded CT Report Generation Guided by Organ-Hierarchical Clinical Knowledge (opens in new tab)

  • Guoliang You, PhD, University of Pennsylvania 
  • Hongming Li, PhD; Yuanwang Zhang, PhD Student; Yong Fan, PhD 

 

Bridging the Gap Between Anatomy and Structural Connectivity: Synthetic Generation of Fractional Anisotropy Maps from T1 MRI (opens in new tab)

  • Darren L. Yang, Memorial Sloan Kettering Cancer Center 
  • Dylan G. Hsu, PhD; Brandon S. Imber, MD, MS; Andrei Holodny, MD; Joseph N. Stember, MD, PhD 

 

Clinical Validation of Commercial AI Prostate SBRT Planning: Dosimetric Equivalence with Deficiencies Isolated to Institution-Specific Organ-at-Risk Objectives (opens in new tab)

  • Nayoon J. Lee, University of Pennsylvania 
  • Steven Philbrook, MS; William R. Green, MD; Eva Berlin, MD; John Chojnowski, MD, PhD; Nicholas Molina; Jonathan Cheng; Sara Arias-Obando; Rafe McBeth, PhD 

 

Concordance of Qualitative Aortic Descriptors with Diameter and Aortic Height Index: An LLM-Based Analysis of 1,000 CT Angiography Reports (opens in new tab)

  • Trent J. Levy, MD; Perelman School of Medicine, University of Pennsylvania 
  • Tessa S. Cook, MD, PhD, CIIP, FSIIM 

 

Deep-Learned Beam Imputation for Cardiac Color Doppler (opens in new tab)

  • Aditya Mantha, Johns Hopkins University 
  • Praneeth Sadda, MD 

 

Deep Learning Architectures for Stroke Lesion Segmentation on Non-Contrast CT in a Low-Resource Setting (opens in new tab)

  • Taofeeq Oluwatosin Togunwa, MD, University of Michigan Medical School 
  • Halleluyah D. Oludele, MBBS; Oluwatosin E. Fatade, MBBS; Ayomide Adeyemi, MBBS; Theophilus Olayiwola, MBBS; Adesola Adepoju, MPH; Olubunmi O. Oyibotha, MBBS; Umar H. Umar, MBBS; Michael M. Haglund, MD, PhD, MACM; Brad J. Kolls, MD, PhD; Godwin I. Ogbole, MBBS, MD; Alvan-Emeka K. Ukachukwu, MD, MSc.GH 

 

Development and Implementation of a Criteria-Based Radiology Imaging Selection Platform (CRISP-AI) (opens in new tab)

  • Othria Ahmed, MD, Northwell Health 
  • Nicholas Mynarski, MD; Ritesh D. Patel, MD 

 

General-Purpose Large Language Models Outperform Domain-Specific Models for High-Resolution CT Report Feature Extraction (opens in new tab)

  • Darron King, Thomas Jefferson University 
  • Ethan Tai; Valeria Santibañez, MD; Paras Lakhani, MD; Adam Flanders, MD, FSIIM; Baskaran Sundaram, MD; Steven Rothenberg, MD 

 

Global Data Governance and Equitable Innovation in Medical Imaging AI: A Comparative Legal Analysis (opens in new tab)

  • Lars Lindgren, JD, Perelman School of Medicine, University of Pennsylvania 
  • Shawn Lyo, MD; Tessa Cook, MD, PhD, CIIP, FSIIM; Abass Noor, MD 

 

Large Language Model–Assisted Analysis of Preliminary-to-Final Radiology Report Changes for Resident Feedback (opens in new tab)

  • Piyush Goyal, DO, University of Utah 
  • Sarah Teruya, MD; Rachel Dou, MD; William Auffermann, MD, PhD 

 

Multi-Agent Reasoning Enhances Local Small-Model Performance in Medicine (opens in new tab)

  • Saisha Pradeep Shetty, MS, University of California, Davis 
  • Austin Lin; Abhimaneu Pandey; Satvik Tripathi; Ebubechukwu D. Enwerem; Jacinta Arnod; Tessa Cook, MD PhD, CIIP, FSIIM 

 

Overturn of Advanced Imaging Prior Authorization Denials at Independent Review in Medicare Advantage (opens in new tab)

  • James Tyler Ng, MS, Geisinger Commonwealth School of Medicine (Presenter) 
  • Uddhav Neupane; James Tyler Ng, MS; Rohit Sharma, MD  

 

Patient-Specific Volumetric CT Synthesis from Routine Biplanar Knee Radiographs (opens in new tab)

  • Amirali Khosravi, MD, Mayo Clinic 
  • Linjun Yang, PhD; Kellen Mulford, PhD; Bardia Khosravi, MD, MPH, MHPE; Cody Wyles, MD; Bradley J. Erickson, MD, PhD, CIIP, FSIIM 

 

Retrieval Augmented Generation Enables an AI-Powered Radiology Institutional Knowledge Assistant (opens in new tab)

  • Amol Sinha, MS, Stanford Medicine Children's Health 
  • Liliana Ma, MD, PhD; Sergios Gatidis, MD; Sivashankar Dhandapani; Kenneth Wong; Shreyas Vasanawala, MD, PhD 

 

Rightsizing the Concept of Work Relative Value Units (wRVU) through Incorporation of an Automated Cognitive Burden Metric: A Feasibility Study (opens in new tab)

  • Adam Flanders, MD, CIIP, FSIIM, Thomas Jefferson University 
  • Steven A. Rothenberg, MD; Abin Bandyopadhyay, MD; Paras Lakhani, MD; Christopher G. Roth, MD; Ayis Pyrros, MD; Avishkar Sharma, MD, CIIP; Adam Zoga, MD MBA; Elias Melhem, MD 

 

Scaling Vision-Language Models for Radiology Caption Prediction: A Cross-Scale Comparison of Parameter-Efficient Fine-Tuning Methods and Their Attention-Based Explanations (opens in new tab)

  • Mahmudul Hoque & Raisa Nusrat Chowdhury, Morgan State University 
  • Md Mahmudur Rahman, PhD 

 

The Invisible Feedback Loop: Quantifying Uncompensated Site Labor in Post-Market Evaluation of Diagnostic AI(opens in new tab) 

  • Inga Edwin, MD, Valley Radiology and Methodist University Cape Fear Valley Medical School 

 

Tissue-Aware Distributional Matching for JPEG 2000: 1.7× Storage Reduction in Whole-Slide Histopathology at JPEG-80-Equivalent Quality (opens in new tab)

  • Ritika Agarwal, MSE, Perelman School of Medicine, University of Pennsylvania 
  • Mathew Francis, PhD; Mark D. Zarella, PhD 

DATE

TUE, OCT 27


TIME

11:45 AM – 12:30 PM ET 


LOCATION

The Commons (outside of Arthur H. Rubenstein Auditorium)