Accepted Clinical Abstracts

🖨️ Poster Printing Information

For your convenience, there is a FedEx Office Print & Ship Center located inside the hospital directly across the street from the conference venue. Authors are strongly encouraged to order their poster prints in advance so they are ready for pickup upon arrival.

Poster Session A

Thursday August 13, 2026, 11:00 AM – 12:15 PM

Mixed-Methods Evaluation of an Enterprise Large Language Model Pilot for Clinical Work in Hospital Medicine
Tarek Souaid, Alexander J Ryu, Shant Ayanian

Chest X-ray Foundation Models Capture Unexpected Signals Associated with Pediatric Inguinal Hernia
Fang Lin, Hao Liang, Chaosheng He, Shuang Li, Jin Luo

Towards Scalable Screening of Diabetic Neuropathy: Modeling Label Source Heterogeneity and Temporal Generalizability in EHR Data
Jinyeong Yi, Ha Eun Kim, Tae Jung Oh

Estimating Individualized Effect of Tooth Extraction before Radiotherapy on Osteoradionecrosis in Head and Neck Cancer Patients using Causal Machine Learning
Mohammad Moharrami

Building Machine Learning Weight Prediction Models Using a Binarized Weight Loss and Time Horizon Grid and Optuna Optimization to Predict Weight Loss at Time Intervals
Mansur E. Shomali, Rui Han, Abhimanyu Kumbara, Anand K. Iyer

Binary Classification of MGUS Progression to Multiple Myeloma: A Head-to-Head Comparison of Biology-Driven and Data-Driven Gene Expression Feature Selection
Sai Samayamanthula, Andrew Bouras, Luis Rodriguez, Nitin Chetla, Kyle Sporn, Rahul Kumar, Varun Raja

Automated Bladder-Colon Interface Segmentation in Pediatric Pelvic Emergency Ultrasound Using Deep Learning
Faezeh Mirlohi, Naina Sabbineni, Newton Addo, Kush Narang, Shree Sabbineni, John Kornak, Christopher Seaman, Aaron Kornblith

AI-Enabled Non-Invasive Colorectal Cancer Prescreening Using Iris Imaging and Self-Supervised Deep Learning
Mahteme Bekele Muleta

Litmus: Linking Dataset Structure to Reproducible Evaluation in Surgical AI
Yann Sakref, Jeffrey K Jopling, Lisa Marie Knowlton

A Clinically Interpretable Deep Learning Framework for Distinguishing Epileptiform Discharges from EEG Artifact and Variants
Nihal Satyadev, Cui Tao

An End-to-End LLM-Guided Pipeline for Automated Systematic Review in Clinical Guideline Development
Myeongju Kim, Hyangwon Lee, Tae-Han Kim

Voice Analytics for Smoking Detection: A Comparative Study of Performance and Fairness
Marisa Presutto, Hudson Margolis, Marie Owino, Anaïs Rameau, Joseph T Colonel

Where Do AI-Drafted Replies to Patient Messages Fall Short? A Taxonomy of Physician Edits and Their Workload Implications
Lily Poursoltan, Aaron Boussina, Karandeep Singh

Poster Session B

Thursday August 13, 2026, 3:45 PM – 4:45 PM

Wearable Gait Dynamics Reveal Prodromal Burden in Parkinson’s Disease
Dante Trabassi

Individualized and dynamic prediction of the recovery profiles of multiple performance domains after stroke
Alain Ryser, Moritz Vandenhirtz, Janne Marieke Veerbeek, Brigitte Charlotte Kaufmann, Kieran Chin-Cheong, Kacper Sokol, Beatrice Ottiger, Julia E Vogt, Thomas Nyffeler

Large Language Models for the Identification of Patients with Cardiogenic Shock without Hypotension
Karan Desai, Michael Sjoding, Andrew Wong

Federated Learning Assessment for ICU Research (FLAIR): A Model-to-Data Paradigm for Privacy-Preserving Clinical AI Evaluation
Vaishvik Chaudhari, Kaveri Chhikara, Zewei Liao, Nicholas E. Ingraham, Patrick G Lyons, Brenna Park-Egan, Catherine A. Gao, Wan-Ting Liao, Dema Therese Maria, Sivasubramanium V Bhavani, Navya Tippananapalya Ramesh, Aartik Sarma, Chad H. Hochberg, William F Parker, Kevin G Buell, Juan C. Rojas

A Retrospective Evaluation of the Microsoft Healthcare Agent Orchestrator for Tumor Board Patient Summaries
Joy Roy, Jack Korleski, Ryan C. Augustin, Leeor S. Yefet, Zach D. Jensen, Eric C. Ehman, Amy Lynn Conners, Panagiotis Korfiatis, Amye J. Tevaarwerk

Early Prediction Across Multiple Horizons: A Calibrated Multi-Task Framework for Trauma Resuscitation Outcomes
Shiming Yang, Kostantinos Kalpakis, Yan Wen, Aswin Kumar Janakiraman, William Teeter, Peter Hu, Justin Edward Richards

A Scalable Retrieval-Augmented Editing Pipeline for Automated Processing of Patient Audio Interviews
Max Siauw, Yunseo Lee

Supervised Machine Learning for Severe Maternal Morbidity Prediction Using Clinician-Curated Obstetric Anesthesia Variables in the nuMoM2b Cohort
Sheena Warner, Yixuan He, Conglin Bao, Yasoda Sai Ram Kandikonda, Kelly L. Wiltse Nicely, Rasheeta Chandler, Rameshbabu Manyam

An LLM-Assisted Pipeline to Reduce Emergency Department Burden by Identifying Patients with Chest Pain Appropriate for a Clinical Evaluation Unit
Roshni Varma, Matthew M. Engelhard

Rules or Machines? Comparing Conventional Logistic Regression and Machine Learning for Selecting Surgical Candidates for Ambulatory Center Surgery
Emily Thomas, Rachel Hyzny, Gerasimos Palaiopanos, Holly Wiberg, Suresh Mulukutla, Amit D Tevar MD MBA

Uncovering Mammographic Phenotypes Learned by Deep Learning Breast Cancer Risk Models
Ruiyu Jia, Yanqi Xu, Yuxuan Chen, Yiqiu Shen, Laura Heacock

Population-Specific Brain Aging Patterns Revealed by Interpretable Machine Learning and Population-Stratified Trajectory Analysis: A Comparative Study of Korean and UK Biobank Cohorts
Hyoju Sohn, Hyangwon Lee, Jeongbin Oh, So Young Ji, Ho Kang, Myeongju Kim, Jung Ho Han

Clinical Evaluation of a Machine Learning Model for Interval-Level Detection of Intraoperative Cerebral Ischemia During Carotid Endarterectomy
Evans Nyanney

Configuration-Dependent Sensitivity Gains from Multi-Agent Vision–Language Model Debate for Lung Lesion Detection on Chest Radiographs: A 29,986-Image Benchmark Across CheXpert, MIMIC-CXR, and NIH ChestX-ray14
Ming-Hui Hung, WEN-JENG LEE

DINO-Ortho: Self-Supervised Pretrained Neural Network for Orthopedic Image Classification
Rohan Bagchi, Nicholas J. Yee, Atta Taseh, Soheil Ashkani Esfahani

Poster Session C

Friday August 14, 2026, 1:00 PM – 2:00 PM

The Effect of Body Fat Indexing on Biology Learned by Pediatric Obesity Prediction Models
Seo Jung Kim, Jihun Kim, Dohyun Chun

Automated CT Contrast Phase Classification for Kidney Tumor Imaging
Hortense Le, Hersh Chandarana, Rajesh Ranganath, Madhur Nayan

Detection of Hypotension Onset from Photoplethysmography during dialysis Using Parameter-Free In-Context Personalization and Unsupervised Domain Adaptation
Jinyong Park, Ha Eun Kim, Jinyeong Yi, Sejoong Kim, JIWON RYU

Structured LLM Pipeline for Automated Gastric Cancer Registry Construction from Bilingual Pathology Reports
Hungi Jung, So Hyun Kang, Myeongju Kim

Five-Year Breast Cancer Risk Prediction from Screening Breast Ultrasound: A Deep Learning Approach
Yuxuan Chen, Yanqi Xu, Laura Heacock, Linda Moy, Yiqiu Shen, Alana Lewin

Multimodal Deep Learning Models Integrating Preoperative Imaging and Clinical Data to Predict One-Year Patient-Reported Outcomes and Healthcare Utilization Outcomes After Total Knee Arthroplasty
Yuxuan Jin, Shujaa Khan, Mingrui Yang, Xiaojuan Li, Carl S Winalski, Daniel M. Rotroff, Nicolas Piuzzi

Hospital-Level Heterogeneity and Dataset Shift in Sepsis-Associated AKI Prediction: A Bayesian Hierarchical Modeling Study with External Validation
Luis Rodriguez, Andrew Bouras, Sai Samayamanthula, Nitin Chetla, Kyle Sporn, Rahul Kumar, Varun Raja

Human-AI Collaboration in Neonatal Care: Effects of Large Language Model Recommendations on PDA Management Decisions
Tanima Arora, Anagha Satish, Kristyn S Beam, Milind Tambe

Multimodal Large Language Models for Photo-Based Pressure Injury Triage: Better for Thresholded Escalation than for Exact Staging
Toshiaki TAKAHASHI, Hinata Tairako, Nao Tamai

Predicting Shunt Dependency Using Early Cerebrospinal Drainage and Ventricular Volume
Zoe Zhou, Tammam Alalqum, Shannon Ring, Anh Tuan Tran, Seyedmehdi Payabvash, Murad Megjhani, Soojin Park

Zero-Shot Kidney Tumor Malignancy Classification and Fairness Evaluation using Vision-Language Models on Computed Tomography Imaging
Hyungrok Do, Jae-yun Kim, Saerom Park, Myeonggyun Lee, Madhur Nayan

Evaluating the Classification Potential of Smartwatch-Derived Features for Parkinson’s Disease
Andrew Dadour, Marcos Cordoba MD, Allyson Stone MD MS

Patient-Specific Biophysical Modeling of Lymphatic Routing for Skip Metastasis Prediction in Colorectal Cancer
Shankar Harikrishnan, Justin Chang