Conference on Artificial Intelligence in Medical Imaging

Accelerating Clinical Integration of Imaging AI: Open-Source Deployment with MONAI Deploy Express 

• Bryan Luna, Cincinnati Children's Hospital Medical Center 
• Will Tepe; Ming Qin, MSc; Victor Chang; Barbaros S. Erdal, PhD; Vikash Gupta, PhD; Khaled Younis, PhD; Elanchezhian Somasundaram, PhD 

 

Active Learning Pipeline for Accelerated Segmentation of 11,000+ Longitudinal Brain Metastasis MRI Studies-Initial Work 

• Crystal Chukwurah, Yale School of Medicine; Wes Krikorian, Horace Mann School; Ananya Purwar, Harvey Mudd College 
• Raisa Amiruddin, MBBS; Saahil Chadha; Nazanin Maleki, MD; Ahmed Moawad, MBBCh; Monika Pytlarz, PhD Student; Fabian Umeh, MSc; David Weiss, Nikolay Yordanov, MD; Sanjay Aneja, MD; MingDe Lin, PhD; Peter D. Chang, MD; Mariam Aboian, MD, PhD 

 

AI on the Edge: Machine Learning for Point-Of-Care Musculoskeletal Ultrasound 

• Raffi Salibian, MD, Olive View-UCLA Medical Center 

 

AI-Assisted Clinical Judgment in Nursing: A Human-Centered Informatics Framework for Safer Bedside Decisions 

• Alexis Collier, DHA, MHA, CALA, University of North Georgia 

 

ALARA (As Low As Reasonably Achievable): Evaluating Causes of Excessive Radiation for Routine Interventional Radiology Procedures 

• Ryan Masotti, Emory University School of Medicine 
• Judy Wawira Gichoya, MD, MS, FSIIM; Zachary Bercu, MD, RPVI; Elizabeth A. Krupinski, PhD; Deborah Cooper-Schifitto, ME; Lori Barski; Xiaohui Wang, PhD; Shalmali Dharmadhikari, PhD; Janice Newsome, MD, FSIR 

 

Automated Hemodynamic Profiling from Bedside Ultrasound using EASyExamAI 

• Amira Elfergani, Albany Medical College 
• Nala Bughrara; Megan Weigand; Megalan Tso; Skyler Teague; Gregory Dixon; Ramneet Kaur; Saad Waheed; Jonathan Muckell, MS, PhD; Nibras Bughrara, MD, FCCM, FASA 

 

Automating Medical Scheduling through Agentic Assistant 

• Paulo Kuriki, MD, UT Southwestern Medical Center 
• Michael Groot, MD; Marco Pinho, MD; Ronald Peshock, MD 

 

Automating NLP on Clinical CSV Files Using a Customizable LLM Workflow Tool 

• Shiven Velagapudi, UT Southwestern 
• Yee S. Ng, MD; Yin Xi, PhD 

 

Development and Implementation of a Criteria-based Radiology Imaging Selection Platform 

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

 

Eliminating Physician Dependency Bottlenecks in Automated Segmentation Quality Assurance Through a Novel Methodology 

• Reid Jockisch, OSF HealthCare 
• Matthew T. Bramlet, MD; Art Sedighi, PhD 

 

Evaluating the Accuracy and Safety of Patient-friendly Complete Radiology Reports using a HIPAA-compliant Large Language Model 

• Juan Serna, University of California, San Francisco 
• Jae Ho Sohn, MD, MS; Yannan Yu, MD 

 

Evaluating the Diagnostic Value of a Large Language Model in Analyzing Chest X-Ray and CT Imaging in ED Trauma Cases 

• David Choung, University of California, Irvine; Catherine Kim, University of California, Irvine 
• Shawn Sun, MD; Dillon Sommer; Roozbeh Houshyar, MD 

 

Foundation Models Fail to Close Fairness Gaps in Medical AI: Unexpected Benefits of LLM-Extracted Labels 

• Amirali Khosravi, MD, Mayo Clinic 
• Bardia Khosravi, MD, MPH, MHPE; Bradley J. Erickson, MD, PhD, CIIP, FSIIM; Judy W. Gichoya, MD, MS, FSIIM 

 

GUSL: A Novel and Efficient Machine Learning Model for Kidney Segmentation 

• Jiaxin Yang, PhD Student, University of Southern California 
• Duddalwar Vinay, MD; C.C. Jay Kuo, PhD 

 

Leveraging Large Language Models to create Medical Research Databases: A Feasibility Study, Case Example, and Open-source App 

• Luke Altnether, UT Southwestern 
• Anish Goel; Ivan Pedrosa, MD, PhD; Yin Xi, PhD 

 

MCP-Driven Multi-Agent RAG System for Prostate Cancer Temporal Summarization, Lifespan Prediction, and Treatment Recommendation 

• Meenakshi Amulya Jayanti, University of Chicago; Zoe Calianos, University of Chicago; Hyunji Kim, University of Chicago;
• Brian Li 

 

MRad-RAG: A Local Multimodal Radiology RAG Framework for Consumer Level Hardware 

• Liliana Ma, MD, PhD, Stanford Healthcare 
• Sergios Gatidis, MD; Serena Yeung, PhD; Shreyas Vasanawala, MD, PhD 

 

Pre-Imaging Predictors of Cardiac MR Image Quality Using Large Language Model-Based Clinical Data Extraction 

• Masha Bondarenko, University of California, San Francisco 
• Hong Yu, MD, PhD; Ali Nowroozi, MD; Jae Ho Sohn, MD, MS 

 

Rapid, Low-Cost Structuring of 200 MIMIC-CXR Reports with an Open 4-Billion-Parameter MedGemma Language Model 

• Mathue Duhaney, MD, SUNY Downstate Health Sciences 
• Mina Al-Ani, MBBS 

 

Speaking the Same Language: Utilizing Large Language Models to Automate Rad-Path Results Concordance Classification Across a Multi-System Healthcare Network 

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

 

Unclogging the CPU Pipes: A Persistent Caching Pipeline to Speed Up Deep Learning Workflows in Radiology 

• Aditya V. Kulkarni, MSc, St. Jude Children's Research Hospital 
• Dharmam Y. Savani, MSc; Paul H. Yi, MD 

 

Withholding Sensitive Radiology Reports: Real-World Evaluation of an LLM-Based Classifier 

• Aaron T. Chin, MD, University of California, Los Angeles 
• Kelly Bartlett; Eric M. Cheng, MD, MS; Mojtaba Heidarysafa, PhD; Kamran Kowsari, PhD; Paul J. Lukac, MD, MBA, MS; James W. Sayre, PhD; Lucy Chow, MD