About the Session
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
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
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
AI-Assisted Exam Code Normalization with Continuous Self-Training Across Multi-PACS Environments
Mark Jones, Chief Technology Officer, High Plains Radiology
AI-Driven Histopathologic Image Classification for Diagnostic Accuracy Enhancement in Digital Pathology
Sharjeel Chaudhry, MPhil, Pathologist, Dow University
Zarmina Ehtesham, MPhil
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
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
Augmenting Mammography Education for Radiology Trainees Through a Dedicated EHR Dashboard Tool
Kyle Tegtmeyer, MD, PGY-5 Diagnostic Radiology Resident, Yale University
Alexander Kuehne, MD; Danling Chen, MD; John Lewin, MD; Sophie Chheang, MD, MBA, CIIP
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
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
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
Auto-Protocoling Radiology Orders Using Agentic AI and a Large Language Model
Paul Murphy, MD, PhD, HS Clinical Professor, University of California – San Diego
Jie Cao; Eugene Kang; Gabriella De La Fuente; Andrew Chua; Mary-Ann Dobrota; Chelsea Sallstrom; Joseph Savoie; Jeffrey Pan; Karandeep Singh, MD, MMSc
“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
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
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
BI-RADS v2025 Taxonomy Drift Stress Test: Stabilizing Mammography AI with a Bayesian Adapter
Ketan Dayma, MD, PGY-5 Resident, SUNY Upstate Medical University
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
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
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
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
Delta-Radiomics Across Treatment Timepoints for Distinguishing True Progression from Pseudoprogression in Lung Cancer Immunotherapy: A Comparative AI Analysis
Priyadarshini Mamindla, MS, Bioinformatics Systems Programmer, University of Pittsburgh
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
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
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
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
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
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
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
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
EHR Optimization to Reduce Unnecessary Radiation for Follow Up CTA Vascular Imaging: A Quality Improvement Project
Kyle Tegtmeyer, MD, PGY-5 Diagnostic Radiology Resident, Yale University
Danling Chen, MD; Alexander Kuehne, MD; Sophie Chheang, MD, MBA, CIIP
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
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
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
“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
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
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
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
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)
From Disagreement to Diagnosis: Cross-Modal Discrepancy Detection in Radiology
Vedant Malik, Senior, Parkland High School
Shahriar Faghani, MD
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
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
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
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
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
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
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
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
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
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
Leveraging Census-Derived Surname Frequencies for Simplified Randomized Worklist Distribution
Neil Lall, MD, Medical Director of Imaging Informatics, Children’s Healthcare of Atlanta
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
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
Optimizing Hyperparameters of Hybrid Quantum Transfer Learning Models for Chest X-Ray Classification
Skylar Chan, PhD Candidate, University of Maryland
Adam Levav
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
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
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
Radiology AI-Driven Decision Support for MR Safety (RadSafe)
Irene Lee, MD, Resident, Emory University
Shaun-Chi Tsai, 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
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
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
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
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
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
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
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
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
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
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
Presented By
Kyle Tegtmeyer, MD
Evan Masutani, MD, PhD
Jonah Belback, Intelligent Systems Master's Student
Ritesh Patel, MD
Ismael Villanueva Miranda, PhD
Satvik Tripathi
Natally AlArab, MD, MSc
Dvij Sharma, BS
Weijie Chen, PhD
Samira Raminfard, PhD
Sohan Shah, BS