Scientific Research & Applied Informatics Posters and Demonstrations Roving Tours

AI-Assisted Exam Code Normalization with Continuous Self-Training Across Multi-PACS Environments

Mark Jones, Chief Technology Officer, High Plains Radiology

Deployment of an AI-Based Multilayer OCT Segmentation and Visualization Platform for Clinical Trial Imaging

Aadhi Aadhavan Balasubramanian, MS, Data Scientist, University of Wisconsin
Rachel Linderman, PhD; Justin Bitner, MFA; Madeline Pflasterer-Jennerjohn; Caleb Pacheco; Jeong Pak, PhD; Robert Slater, PhD; Roomasa Channa, MD; Barbara Blodi, MD; Amitha Domalpally, MD, PhD

From Calculation to Custom Field: A Novel Informatics Pipeline for Automated Population of Cardiac Computed Tomography Angiography Measurements

Eric Richmond, CIIP, Applications Development Lead, Imaging, Seattle Children’s Hospital
Randolph Otto, MD, FACR; Erin Romberg, MD; Mike Bindschadler, PhD; Monty Neal, RT(R)

Radiology AI-Driven Decision Support for MR Safety (RadSafe)

Irene Lee, MD, Resident, Emory University
Shaun-Chi Tsai, MD

Binary Chest Radiograph Classification for Triage: Comparable Performance Across Compact CNN, Transformer, and Hybrid Models Trained on Consumer Hardware

Aaron Li, MD, Resident Physician, Loma Linda University
Rajeev Norwangi, MD, MPH; Robert Moranville, MD

Beyond Next-Token Prediction: Distillation vs. Synthetic Data for Transforming LLMs into Structured Report Classifiers

Aawez Mansuri, MS, Systems Software Engineer, Emory University
Kush Mehta; Jahanzaib Maik, MS; Mohammedreza Chavoshi, MD; Theo Dapamede, MD, PhD; Frank Li, PhD; Jacob Jeon, PhD; Rohan Satya Issac, MS; Beatrice Brown-Mulry, MS; Chiratidzo Sanyika, MS; Janice Newsome, MD; Judy Gichoya, MD, MS, FSIIM; Ali Emami, PhD; Hari Trivedi, MD

Evaluating Segmentation Consistency Between Body Composition Analysis Methods Across Multi-Series Clinical CT Studies

Adam Dachowicz, PhD, Data Science Analyst, Mayo Clinic
Jason Klug, PhD; Gian Marco Conte, MD, PhD; Tubo Shi, MBChB, FRANZCR

Integrating Epic Physician Builder Training into Radiology Residency: A Structured, Project-Based Applied Informatics Model

Alexander Kuehne, MD, Diagnostic Radiology Resident, Yale University
Danling Chen, MD; Kyle Tegtmeyer, MD; Sophie Chheang, MD

Piloting an Online Artificial Intelligence Course for Radiologists in a Resource-Limited Setting: Experience from Nigeria

Ameena Elahi, MSOD, MPA, RT(R), CIIP, Director of Informatics Operations, Associate Director of AI Initiatives, RAD-AID International, Penn Medicine
Natalie Cain-Wisdom, MD, MPH; Adeyanju Akinola, MBBS; Folasade Adeyemi, MBBS; Mobolaji Jaiyesimi, MBBS; Akinola Odedeyi, MBBS; Victoria Mango, MD

Automated Radiology-Pathology Correlation Portal Using Large Language Models

Basem Jaber, MD, Abdominal Imaging, Imaging Informatics Fellow, University of Pennsylvania
Tessa Cook, MD, PhD, CIIP, FAAR, FACR, FSIIM; Charles Chambers; Darco Lalevic; Ali Dhanaliwala, MD, PhD

Foundation Models Demonstrate Superior Robustness to Synthetic Data Artifacts in Pneumothorax Detection

Amirali Khosravi, MD, Research Fellow, Mayo Clinic
Bardia Khosravi, MD, MPH, MHPE; Judy Gichoya, MD, MS, FSIIM; Bradley Erickson, MD, PhD, CIIP, FSIIM

Learning Diverse Tissue Patterns from Multiple Slides: A Multi-Query Retrieval Multiple Instance Learning Approach

Amirali Khosravi, MD, Research Fellow, Mayo Clinic
Jaidip Jagtap, PhD; Bradley Erickson, MD, PhD, CIIP, FSIIM

Does Clinical Co-Authorship Matter When Developing Clinical Foundation Models? A Systematic Review

Ammar Ahmed Pallikonda Latheef, MSE, Software Engineer, St. Jude Children’s Research Hospital
Vidith Phillips, MD, MS; Aditya Kulkarni, MS; Changhyun Park, MEng; Pritam Mukherjee, PhD; Paul Yi, MD

Where Does Bias Hide? Tracing the Evolution of Demographic Encoding in a Chest X-Ray Vision Language Model

Ammar Ahmed Pallikonda Latheef, MSE, Software Engineer, St. Jude Children’s Research Hospital
Aditya Kulkarni, MS; Pritam Mukherjee, PhD; Paul Yi, MD

Accuracy and Performance of an Incidental Breast Lesion Detection Tool on a Cohort of 18000 Consecutive Chest CT Exams

Benjamin Rush, PhD, MPH, Informatics Data Scientist, University of Wisconsin-Madison
Brent Robley; Ryan Woods, MD, MPH; John Garrett, PhD

Development of Regulatory Science Tools for the Assessment of AI-Enabled Medical Devices

Berkman Sahiner, PhD, Senior Research Scientist, US Food and Drug Administration
Ravi Samala; Smriti Prathapan; Qian Cao; Nicholas Petrick; Aldo Badano

Chest Radiographs Predict Echocardiographic Features and Future Cardiac Risk Using a Foundation Model

Biniam Garomsa, PhD Student, Emory University
Theo Dapamede, MD, PhD; Loyani Loyani, MS; Frank Li, PhD; Janice Newsome, MD; Hari Trivedi, MD; Drew Williamson, MD; Judy Gichoya, MD, MS, FSIIM

Generalization Over Specialization: Comparing a 3D MRI Foundation Model to CNN Baselines for MRI Protocol and Context Detection Tasks

Dvij Sharma, Graduate Research Assistant, University of Wisconsin – Madison
Xue Li, MS; Carl Kashuk, MS; Zhijian Yang, PhD; Hugh Pemberton, PhD; Krisztian Koós, PhD; Dattesh Shanbhag, PhD; Seyed Iman Zare Estakhraji, PhD; Parminder Bhatia, PhD; Taha Kass-Hout, MD, MS; Marc Lebel, PhD; Erhan Bas, PhD; Orhan Unal, PhD; Richard Bruce, MD; Alan McMillan, PhD; John Garrett, PhD

Stress Testing Methods to Characterize Image Classification Performance Breakdown as a Function of Input Degradation

Emre Alyamac, Undergraduate Researcher, Michigan State University
Adam Alessio, PhD; Zenas Huang, MS

Deep Learning Cardiac View Reformatting and Volumetry from CTA

Evan Masutani, MD, PhD, Resident Physician, UC San Diego Health
Logan Hiller; Albert Hsiao, MD, PhD

Impact of Sampling Temperature and Model Choice on Multimodal Large Language Model Performance in Binary Chest X-Ray Pneumonia Classification

Gabriel Lau, Medical Student, University of Virginia
Nitin Chetla; Vidya Sankar Viswanathan, MD; Rishikesh Nanda; Arun Krishnaraj, MD

Development and Early Evaluation of an Imaging Informatics Mini-Fellowship: Institutional Experience and Fellow Feedback

Govind Mattay, MD, MBA, Resident Physician, Mallinckrodt Institute of Radiology
Aaron Mintz, MD; Glenwood Stancil, MEd, MBA; Yasasvi Tadavarthi, MD; Vamsi Narra, MD, MBA

Virtual Non-Calcium Image Synthesis for Bone Marrow Assessment in Spectral CT Using Physics-informed Dual-task Bayesian Network

Hao Gong, PhD, Associate Professor, Senior Associate Consultant, Radiology, Mayo Clinic
Aeden Davis; Shravani Kharat, MS; Nicholas Rhodes, MD; Garret Powell, MD; Wilson Gonsalves, MD; Cynthia McCollough, PhD; Shuai Leng, PhD; Francis Baffour, MD

Forecasting Post-Admission Chest X-Ray Findings from Admission-Time ECG and Laboratory Tests

Ismael Villanueva Miranda, PhD, Postdoctoral Researcher, University of Texas Southwestern Medical Center
Guanghua Xiao; Yang Xie; Zifan Gu

Automating Aortic Linear Measurements in CT Angiography: A Clinically Validated, PACS-Integrated Hybrid AI Approach for Reliable Oblique Plane Identification

Jason Klug, PhD, Data Scientist, Mayo Clinic
Adam Dachowicz, PhD; Bill Ryan; Wolfgang Holler; MingDe Lin, PhD; Timothy Kline, PhD, MS; Tim Leiner, MD, PhD; Jeremy Collins, MD; Missert Andy, PhD; Gian Marco Conte, MD, PhD; Gabor Bagameri, MD; Alex Bratt, MD

Comparing Whole Slide Imaging Quality Control Software Outputs

Jeremy Minkowitz, DO, Leidos Computational Pathology Fellow, University of Pittsburgh
Adnan Syed, MD; Alok Jadav, MA; Liron Pantanowitz, MD, PhD, MHA; Hooman Rashidi, MD; Matthew Hanna, MD

Domain Knowledge in Literature Text Data to Enhance Breast Cancer Diagnosis in Mammogram Images

Jonah Belback, Graduate Student Researcher, University of Pittsburgh
Shandong Wu, PhD; Dooman Arefan, PhD

Incomplete Late Gadolinium Enhancement Documentation as a Data Quality Barrier in Cardiovascular Magnetic Resonance

Kailash Singh, Medical Student, Cleveland Clinic
Michelle Fang; Makiya Nakashima, MS; Christopher Nguyen, PhD; Wilson Tang, MD; Po-Hao Chen, MD, MBA; Deborah Kwon, MD; David Chen, PhD

BI-RADS v2025 Taxonomy Drift Stress Test: Stabilizing Mammography AI with a Bayesian Adapter

Ketan Dayma, MD, PGY-5 Resident, SUNY Upstate Medical University

Adaptive Orchestration Improves Timeliness and Case Detection in Intracranial Hemorrhage Triage: A 12-Month Retrospective Comparison of Adaptive and Static Routing Systems

Mark Finkelstein, MD, Assistant Professor, Mount Sinai
Joseph Humphries, PhD; Jerome Avondo, PhD; David Mendelson, MD

Cybersecurity Risks in DICOM Image Transfer Within Remote Nuclear Medicine Infrastructure

Maziar Khateri, PhD, Postdoc Researcher, Paracelsus Medical University
Elnaz Jenabi, MD, FANMB; Fatemeh Safari, PhD

An Institutional Survey of Perceived Clinical Value and Utilization Rates of Radiology Artificial Intelligence Tools

Melissa Davis, MD, Vice Chair of Informatics, Yale University
Danling Chen, MD; Elizabeth Dickerson, MPH

Improving Clinical Image Exchange Using an Automated Text Messaging Platform

Michael Passarella, Imaging Informatics Product Analyst, Penn Medicine
Ameena Elahi, MSOD, MPA, RT(R), CIIP

Sensitivity of Medical Foundation Model Embeddings to Common Acquisition-Related Image Perturbations

Mohammadreza Chavoshi, MD, Postdoctoral Research Fellow, Emory University
Bardia Khosravi, MD, MPH, MHPE; Frank Li, PhD; Theo Dapamede, MD, PhD; Jeon YoungSeok, PhD; Aawez Mansuri, MS; Janice Newsome, MD; Hari Trivedi, MD; Judy Gichoya, MD, MS, FSIIM

Delta-Radiomics Across Treatment Timepoints for Distinguishing True Progression from Pseudoprogression in Lung Cancer Immunotherapy: A Comparative AI Analysis

Moiz Khan, CEO, Cyforic Ltd
Priyadarshini Mamindla, MS; Walaa Hamza, MD; Mohammadreza Amjadzadeh, MD; Vishal Peddagangireddy, MS; Sinef Huvaj Aksoy, MD; Afrooz Zandifar, MD; Ayla Buyukkaya, MD; Ozlem Tugce Kalayci, MD; Teke Memik, MD; Ghazaleh Amjad, MD; Nasim Batavani, MD; Ramazan Buyukkaya, MD; Rivka Colen, MD

Leveraging Census-Derived Surname Frequencies for Simplified Randomized Worklist Distribution

Neil Lall, MD, Medical Director of Imaging Informatics, Children’s Healthcare of Atlanta

Distilled BERT-Variant Models Can Extract Radiology Follow-Up Recommendations Using Expert-Guided LLM Labeled Data

Orhan Unal, PhD, Assistant Professor, University of Wisconsin-Madison
Tyler Prout, MD; Richard Bruce, MD; John Garrett, PhD; Joshua Warner, MD, PhD

Extracting Neurocritical Findings from Overnight Neuroimaging Reports Using Open-Weight Locally Deployed LLMs

Orhan Unal, PhD, Assistant Professor, University of Wisconsin-Madison
Allison Grayev, MD; Richard Bruce, MD; John Garrett, PhD

From Pixels to Reports: Benchmarking Multimodal LLMs for Chest X-Ray Interpretation

Natally AlArab, MD, MSc, Postdoctoral Research Fellow, University Hospitals
Sreyes Venkatesh; Syed Muhammad Awais Bukhari, MD; Charit Tippareddy, MD; Kianoush AnsariGilani, MD; Cody Johnson, MD; Robert Gilkeson, MD; Amit Gupta, MD

Optimal Volumetric Resection Threshold Predictive of Progression-Free Survival in Skull Base Chordomas

Priyadarshini Mamindla, MS, Bioinformatics Systems Programmer, University of Pittsburgh
Walaa Hamza, MD; Vishal Peddagangireddy, MS; Mohammadreza Amjadzadeh, MD; Zachary Gersey, MD; Yassine Alam Idrissi, MD; Afrooz Zandifar, MD; Nasim Batavani, MD; Sakibul Huq, MD; Serafettin Zenkin, MD; Ayla Buyukkaya, MD; Ozlem Tugce Kalayci, MD; Ramazan Buyukkaya, MD; Sinef Huvaj Aksoy, MD; Rivka Colen, MD; Georgios Zenonos, MD

Regulatory Science Tools for Risk Prediction Devices: Deep Survival Modeling and Probability Calibration

Qian Cao, PhD, Staff Fellow, US Food and Drug Administration
Nicholas Petrick, PhD; Berkman Sahiner, PhD

Enhancing Attending to Resident Feedback by Using LLMs Fine-Tuned to “Understand” Clinical Significance: A Proof of Concept

Rakesh Sharma, Graduate Student, University of Pennsylvania
Pulak Goswami, MD, PhD; Charles Kahn, MD, PhD, CIIP, FACR, FSIIM; Hersh Sagreiya, MD; Walter Witschey, PhD

Enhancing Radiology Resident Education: Comparative Analysis of Attending Feedback, AI-Generated Feedback, and Combined AI-Enhanced Integrated Feedback

Ritesh Patel, MD, Associate Chief of Informatics, Assistant Professor, Diagnostic Radiologist, Northwell Health
Matthew Barish, MD; Shlomit Goldberg-Stein, MD; David Hirschorn, MD; Daniel Nicosia; James Thannickal, MBA

A Systematic Evaluation of Image Preprocessing in Deep Learning Detection and Segmentation of Intracranial Metastatic Disease

Peter Kamel, MD, Assistant Professor, MD Anderson Cancer Center
Ahmed Naeem, MD; Komal Shah, MD; Max Wintermark, MD, MS, MBA

From Bias to Blindness: Severe Under-Reporting of Patient Sex, Race, and Ethnicity in Contemporary Medical AI Literature

Ronnie Sebro, MD, PhD, Professor, MD Anderson Cancer Center
Mahmoud Elmahdy, MD

Skull-Base Synthetic CT from Brain MRI with Structured Loss and Super-Resolution

Samira Raminfard, PhD, Postdoctoral Scholar, University of Pittsburgh
Mahbod Issaiy, MD; Shahriar Kolahi, MD; Diana Zarei, MD; Kavous Firouznia, MD; Aysa Karimi, MD; Hossein Ghanaati, MD

Generating Patient-Facing FAQs from Radiology Reports Using Large Language Models

Satvik Tripathi, Researcher, University of Pennsylvania
Dana Alkhulaifat, MD; Dania Daye, MD, PhD; Tessa Cook, MD, PhD, CIIP, FAAR, FACR, FSIIM

Impact of AI Tools on Radiologist Performance in Trauma X-Ray Interpretation: A Multi-Center Real-World Study

Sergey Morozov, MD, PhD, MPH, CIIP, Head of Research and Development, 3R Swiss Imaging Network
Octave Novarina, MSc; Natalie Heracleous, PhD; Benoît Rizk, MSc, MBA; Cyril Thouly, PhD; Benoît Dufour, RT

Interpretable Entropy-Based Spatial Radiomics for Automated Breast Density Classification in Multi-Vendor Multi-Center Mammograms

Razieh Ganjee, PhD, Postdoctoral Associate, University of Pittsburgh
Tamerlan Mustafaev, MD; Margarita Zuley, MD; Juhun Lee, PhD

AI-Driven Histopathologic Image Classification for Diagnostic Accuracy Enhancement in Digital Pathology

Sharjeel Chaudhry, MPhil, Pathologist, Dow University
Zarmina Ehtesham, MPhil

Optimizing Hyperparameters of Hybrid Quantum Transfer Learning Models for Chest X-Ray Classification

Skylar Chan, PhD Candidate, University of Maryland
Adam Levav

Using a Retrieval Augmented Generation Pipeline for Delivering Accurate Imaging Guidelines and Mitigating Presence of Hallucinations

Sohan Shah, Clinical Research Assistant, St. Jude Children’s Research Hospital
Gregory Owendoff; Ike Vayansky, MS; Shetal Shah, MD

Scalable, Objective Breast Density Estimation via Foundation Model Probing

Theo Dapamede, MD, PhD, Postdoctoral Fellow, Emory University
Frank Li, PhD; Mohammadreza Chavoshi, MD; Rohan Satya Isaac, MS; Beatrice Brown-Mulry, MS; Bardia Khosravi, MD, MPH, MHPE; Young Seok Jeon, PhD; Aawez Mansuri, MS; Chiratidzo Sanyika, MS; Jahanzaib Malik, MS; Janice Newsome, MD; Judy Gichoya, MD, MS, FSIIM; Hari Trivedi, MD

Towards Uncertainty-Aware Vision-Language Models for Medical Imaging Classification

Shahriar Faghani, MD, Radiology Resident, University of Pennsylvania
Danial Elyassirad; Benyamin Gheiji; Mahsa Vatanparaast; Seyed Amir Asef Agah, MD; Amir Mahmoud Ahmadzadeh, MD; Mana Moassefi, MD

Automated Resident Training & Compliance Monitoring via NLP Study-Description Parsing and PACS Event Crawling

Tubo Shi, MBChB, FRANZCR, Imaging Informatics and AI Fellow, Mayo Clinic
Edward Ganly, MBCh; Richard Floyd, PhD

Kailo Questionnaire-to-Powerscribe 360 Bridge: Automated CT Contrast Documentation for Safety, Compliance, and Workflow Efficiency

Tubo Shi, MBChB, FRANZCR, Imaging Informatics and AI Fellow, Mayo Clinic

Assessing Clinical Acceptance and Edit Characteristics of AI-Generated Radiology Impressions

Vidya Sankar Viswanathan, MBBS, Radiology Resident (PGY3), Emory University
Andrew Del Gaizo, MD; Irene Lee, MD; Wenqiao Wang, MD; Matthew Zygmont, MD; Elias Kikano, MD

LLM-Assisted Model Card for AI-Enabled Medical Devices

Weijie Chen, PhD, Research Physicist, US Food and Drug Administration
Zhengrong Ma; Henry Roberts; Catherine Bahr; Aldo Badano

From Disagreement to Diagnosis: Cross-Modal Discrepancy Detection in Radiology

Vedant Malik, Senior, Parkland High School
Shahriar Faghani, MD

The Data Rescue Pipeline: OCR-Based Extraction of Clinically Useful Information from Report Files Stored as Images in the PACS

Vidith Phillips, MD, MS, Postdoctoral Research Fellow, St Jude Children’s Research Hospital
Dharmam Savani, MS; Pritam Mukherjee, PhD; Paul Yi, MD

“Be Honest… Did an LLM Write This?” Radiology’s Emerging Trends in AI-assisted Manuscripts

Vidith Phillips, MD, MS, Postdoctoral Research Fellow, St Jude Children’s Research Hospital
Ammar Ahmed Latheef, MSE; Suryadipto Sarkar, PhD; Aditya Kulkarni, MS; Pritam Mukherjee, PhD; Paul Yi, MD

“Eye Movements You Can’t Control-Measured by a Device You Already Own.” Open-Nystagmus

Vidith Phillips, MD, MS, Postdoctoral Research Fellow, St Jude Children’s Research Hospital

Putting Radiology AI to the CHEERS Test: A Systematic Review of Cost-Effectiveness Reporting

Vidith Phillips, MD, MS, Postdoctoral Research Fellow, St Jude Children’s Research Hospital
Krutik Nigam; Rachel Ivy; James Pierce; Paravreet Woodwal, DDS, MPH; Pritam Mukherjee, PhD; Paul Yi, MD

Production Monitoring System for Deep Learning Clinical Bone Age Assessment

William Tepe, Machine Learning Engineer, Cincinnati Children’s Hospital Medical Center
Stephen Clark; Bryan Luna; Evan Slavik, MBA; Pushya Ramaswamy; Rama Ayyala, MD; Jonathan Dillman, MD, MScr; Alexander Towbin, MD, FSIIM; Elanchezhian Somasundaram, PhD

Design and Prototyping of an Ophthalmology Enterprise Imaging Workflow Connecting Primary and Secondary Care in a Public Health Network

Yasna Soto, Medical Technologist, Project Manager, Teacher, Universidad Bernardo O’Higgins
Elisa Silva

Task-Aware Uncertainty Estimation for Image Classifiers Using an Ambiguity and Atypicality-Aware Distance Metric

Zenas Huang, MSc, Graduate Student, Michigan State University
Adam Alessio, PhD