Accepted Research Papers

🖨️ 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

A Structure-Constrained Neural Simulator for Population PK under Regimen Shift (ConstrainNODE-PK)
Ali Issa, Tarjinder Sahota, Núria Buil-Bruna, Joseph F Standing, Frank Kloprogge

The Severity Trap: Why Deep Representation Learning Fails at Trajectory Phenotyping in Acute Hypoxæmic Respiratory Failure
Dominic C Marshall, Nikita Narayanan, David B Antcliffe, Sonali Parbhoo

Enhancing LLMs’ Clinical Reasoning with Real-World Data from a Nationwide Sepsis Registry
Junu Kim, Chaeeun Shim, Sungjin Park, Su Yeon Lee, Gee Young Suh, Seong Jin Choi, Song Mi Moon, Kyoung-Ho Song, Eu Suk Kim, Hong Bin Kim, Sejoong Kim, Chami Im, Dong-Wan Kang, Yong Soo Kim, Hee-Joon Bae, Sung Yoon Lim, Han-Gil Jeong, Edward Choi

Retrieve, Then Classify: Corpus-Grounded Automation of Clinical Value Set Authoring
Sumit Mukherjee, O. Tate Kernell, Nairwita Mazumder, Juan Shu, Celena A. Wheeler, Chris Gibbons

Evaluating Large Language Models on Misconceptions in Multi-Turn Medical Conversations
Monica Munnangi, Saiph Savage

Privacy Audits for Clinical Large Language Models
Florent Pollet, Kirill Nikitin, Tong Wang, Rahul Gupta, Noémie Elhadad, Gamze Gursoy

Decision-Informed Online Conformal Prediction for ICU Resource Allocation
Chandra Dronavajjala

SPARK: Lightweight Adaptation of Healthcare Foundation Models via Steering Knowledge Circuits
Bing Li, Huiyuan Yang, Qiang Fu, Yuwei Long

Characterizing Population Gaps in Clinical Decision-Making: A Guideline-Based Benchmark and Population-Aware Retrieval Analysis in Anesthesiology
Chaiho Shin, Jung-Bin Park, Kwangsoo Kim, Hee-Soo Kim

CheXAlpha: Making Radiology VLMs Clinically Trustworthy through Auxiliary Supervision, Reward-Aligned Learning, and Tool-Augmented Measurement
Anirban Porya, Mercy Prasanna Ranjit, Niharika Vadlamudi, Nikhilesh Chowdary Eathamukkala, Prasanth V V, Sathvik Joel, Abhyuday Kumara Swamy, Pranay Narhari Umredkar, Pradeep Narayan, Vivek Rajagopal, Tanuja Ganu

Attention-Enhanced Deep Generative Modeling Enables Interpretable Prediction of Cancer Drug Sensitivity
Shuangxia Ren, AODONG QIU, Mengyao Lu, Xinghua Lu

A foundation-model approach to pediatric headache classification from resting-state fMRI
Guilherme Seidyo Imai Aldeia, Clara Moon, Julie M. Shulman, Navil Sethna, Allison M Smith, Alyssa LeBel, William La Cava, Scott Holmes

Handling onset age inconsistencies in longitudinal healthcare survey data
Wanxin Li, MING YUAN, Yongjin P Park, Khanh Dao Duc

LLM-Extracted Covariates for Clinical Causal Inference: Rethinking Integration Strategies
Lei Liu, Jialin Chen, Kathy Macropol

Scalable Clinical Data Infrastructure and Comparative ML Evaluation for Hospitalisation Risk Prediction in Elderly Patients with Multiple Long-Term Conditions using CPRD
Asra Aslam, Volodymyr Chapman, Maurice M. O'Connell, Aseel S Abuzour, Micheal Abaho, Danushka Bollegala, Gary Leeming, Eduard Shantsila, Andrew Clegg, Lauren E Walker, Iain Edward Buchan, Samuel D Relton

Hierarchical Modeling of ICD Codes in EHR Foundation Models
Megha Thukral, Dong Gyun Kang, Rudra Pratap Singh, Shruthi Kashinath Hiremath, Katrin Hänsel, Thomas Ploetz

Learning Prostate Anatomy at Test Time for Cancer Detection in Micro-Ultrasound
Obed Korshie Dzikunu, Mohammad Mahdi Abootorabi, Mohamed Harmanani, Paul F R Wilson, Emma Willis, Ferdinand Luger, Adam Kinnaird, Brian Wodlinger, Parvin Mousavi, Purang Abolmaesumi

Amortized Data Borrowing with Exchangeability-Aware Neural Posterior Estimation
Chin-Hung Huang, JooChul Lee, Huan He

From Forecasting to Features: Zero-Shot Forecasting for Feature Extraction
Nassim Oufattole, Matthew B.A. McDermott, Collin Stultz

FSA-Bench: Benchmarking Federated Survival Models
Sultan Ahmed, Sanjay Purushotham

Shortcut-Aware Modeling of Serial ECGs for Cardiac Sarcoidosis
Humza A. Iqbal, David Birnie, Christopher LF Sun

Learning Representations from Incomplete EHR Data with Dual-Masked Autoencoding
Xiao Xiang, David Restrepo, Hyewon Jeong, Yugang jia, Leo Anthony Celi

Toward Better Assessment of LLMs’ Performance in Clinical Error Detection
Yifan Zhang, Rahmatollah Beheshti

KMGen: A Skill-based Approach for Synthetic Individual Patient Data Generation
Jalen Jiang, Chufan Gao, Ethan Rasmussen, Stephen Z. Xie, Jimeng Sun

Change Point–Aware Evaluation and Re-Calibration of PPG-Based Blood Pressure Estimation
Yunwon Tae, Minje Park, Gyunho Roh, Dongjoon Yoo, Sunghoon Joo

Synthesizing Post-Acetazolamide Cerebral Blood Flow Maps from Baseline MRI in Moyamoya Using 3D Generative AI
Juli Huang, Moss Zhao, Camila Gonzalez, Aja Zou, Michael Moseley

Poster Session B

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

Evidence Against Homogeneity: Identifying Process Mismatch for Copy Number Variation Detection
Austin Talbot, Alex V. Kotlar, Yue Ke

Survival Analysis with Limited Overlap and Censoring Distribution Shift
Meera Krishnamoorthy, Donna Tjandra, Divya M Shanmugam, Amanda E. Kowalski, Jenna Wiens

Auditing Measurement Processes in Clinical Registries: Detecting Label--Environment Confounding Before Model Development
Apurv Shukla, Pravansu Mohanty, Devin L McCaslin

Combining Bayesian and Frequentist Inference for Laboratory-Specific Performance Guarantees in Copy Number Variation Detection
Austin Talbot, Alex V. Kotlar, Yue Ke

Possible or Definite? A Benchmark for Evaluating Diagnostic Uncertainty Preservation in Clinical Text
Hongbo Du, Zixin Lu, Jiaming Qu

Explainable Transformer Models for Clinical Prediction Tasks on Structured Electronic Health Records
Jun Ni Du, Lukas Adamek, Maxim Kryukov, Flavio Dormont, Ziv Bar-Joseph, Sven Jager, Brandon Rufino

Annotation-Assisted Learning of Treatment Policies From Multimodal Electronic Health Records
Henri Arno, Thomas Demeester

Colormaps Matter: Evaluating Their Impact on CNN-Based Clinical Thermal Imaging
Allison Ng, Miriam Asare-Baiden, Sharon Eve Sonenblum, Kathleen Jordan, Judy Gichoya, Vicki Hertzberg, Joyce C. Ho

Early-Horizon Multimodal ICU Mortality Prediction Without Retraining
Alexander Bakumenko, Dane Hudson Smith, Janine Hoelscher

Uncertainty-Aware mRMR for Transferable Feature Selection in High-Dimensional, Low-Sample-Size Biomedical Data
Xuehan Chen, Brian D. Davison

Confounding Masquerading as Improvement: A Systematic Evaluation of Offline Reinforcement Learning for Stroke Antithrombotic Treatment in a 129,000-Patient Registry
Kihun Rhee

Imitation Learning for Robot Assistance in Open Surgery: A Multi-Policy Evaluation on Suture Following
Xucheng Wang, Zhizhou Yang, Xiaoman Zhang, Sung Eun Kim, Romain Hardy, Pranav Rajpurkar

Doubly valid and doubly sharp sensitivity analysis to unobserved confounding for survival outcomes
Jean-Baptiste Baitairian, Bernard Sebastien, Rana JREICH, Sandrine Katsahian, Agathe Guilloux

A Cloud--Edge System for Multimodal Clinical Screening in Resource-Constrained Rural Settings
Hei Ting Una Chan, Chenwei Wu, Xueshen Liu, Zesen Zhao, Boyuan Zheng, Zhuoqing Mao, Luis Filipe Nakayama, Michael G Morley, Liyue Shen, Jiasi Chen

EHR-MPC: Sepsis Digital Twins Decouple Dynamics from Treatment Optimization
Joshua Pickard, Wei Qi, Na Li, Ann Woolley, Lisa A. Cosimi, Roy Kishony, Deborah Hung

Deep Poisson Case Time Series Model for Complex Environmental Exposure Modeling on Acute Health Outcome
Keyu Li, Elaona Lemoto, Zachary D. Calhoun, Charles T Wood, Nrupen A. Bhavsar, David Carlson

Causal Discovery of Radiation Response Mechanisms in Human Cells
Ashka Shah, Rick Stevens

Paired Recipient-based Evaluation of Survival Prediction for Deceased Donor Kidney Transplants
Misaki Matsuura, Mohammadreza Nemati, Dulat Bekbolsynov, Stanislaw Stepkowski, Kevin S. Xu

Learning Under Treatment-Induced Label Indeterminacy with Expert Annotations of Counterfactual Outcomes: A Case Study in Neurological Prognostication
Xiaobin Shen, Chloe Y.H. Huang, Jonathan Elmer, George H. Chen

Bowel Obstruction Detection and Localization on Abdominal CT with Deep Learning
Moritz Vandenhirtz, Andrea Agostini, Dana Belde, Mélanie Roschewitz, Ismaiel Chikh Bakri, Tilo Niemann, André Euler, Julia E Vogt

Estimating Upcoding in Medicare Advantage: Identifying Contributors, Costs, and Mechanisms
Dylan Zapzalka, Muskaan Mittal, Jenna Wiens, Maggie Makar

MotionAge: A Deep Learning Framework for Biological Age Prediction from Wearable Activity
Yilin Song, Jiaqi Yin, Yirou Hu, Tian Gu

Human–AI Deferral under Limited Expert Availability: A Study in Intraoperative Ischemia Detection
Nihal Murali, Karim Elzokm, Parthasarathy Thirumala, kayhan Batmanghelich, Shyam Visweswaran

SHIFT-M3: Pre-fusion Alignment-based Consistency Screening for Multimodal ECG Record Integrity
Md Ashik Khan, Md Nahid Siddique

Poster Session C

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

Patient Avatars for Medical Education and Benchmarking
Oishi Banerjee, Alexandra N. Willauer, Pranav Rajpurkar

ELF: A Family of Encoder-Free ECG-Language Models
William Han, Tony Chen, Chaojing Duan, Xiaoyu Song, Yihang Yao, Yuzhe Yang, Michael Rosenberg, Emerson Liu, Ding Zhao

WILLIE: A Unified Framework and Benchmark for Wound Classification, Segmentation, and Localization.
Gopi Trinadh Maddikunta, Peizhu Qian

Tree of Concepts: Interpretable Continual Learners in Non-Stationary Clinical Domains
Dongkyu Cho, Xiyue Li, Samrachana Adhikari, Rumi Chunara

OC-Distill: Ontology-aware Contrastive Learning with Cross-Modal Distillation for ICU Risk Prediction
Zhongyuan Liang, Junhyung Jo, Hyang-Jung Lee, Sang Kyu Kim, Irene Y. Chen

Key Coverage Matters: Semi-Structured Extraction of OCR Clinical Reports
Yu Wang, Yingyun Li, Ying QIN, Haiyang Qian

GRAFT: Decoupling Ranking and Calibration for Survival Analysis
Mohammad Ashhad, Robert Hoehndorf, Ricardo Henao

Bias-corrected Cox regression with AI-extracted covariates via calibration summary statistics
Arjun Sondhi

Scaling up fine-grained intracranial vessel annotations in computed tomography angiography
Chu-Hsuan Lin, Alberto Mario Ceballos Arroyo, Jisoo Kim, Shrikanth Yadav, Huaizu Jiang, Lei Qin, Geoffrey Young

Adaptive Multi-Agent Feature Selection for Personalized Fall Risk Prevention
Chang Liu, Ladda Thiamwong, Yanjie Fu, Rui Xie

Benchmarking Machine Learning Architectures for Antimicrobial Stewardship in Pediatric ICUs
Niklas Raehse, Luregn J Schlapbach, Daphné Chopard

Detecting Clinical Discrepancies in Health Coaching Agents: A Dual-Stream Memory and Reconciliation Architecture
Samuel L Pugh, Eric Yang, Alexander Muir Sutherland, Alessandra Breschi

Real-world sleep phenotyping in autism: compliance, domain shift, and scalable wearable biomarkers
Sanketh Vedula, Andrew Kim, Manoj Kumar, Olga Troyanskaya, Guillermo Sapiro

Do LLMs Have a Sense of Time? Zero-Shot Survival Curve Prediction with Frontier Language Models
Emma Chen, Grace Chang Yuan, Christine Yang Zhou, David A Kim, Pranav Rajpurkar

Quantifying Boundary Reliability in Endoscopic Ultrasound Pancreas Segmentation via Evidential Deep Learning
Hana Kim, Khalid Ahmed Husain, Jianing Li, Venkata S Akshintala, S. Swaroop Vedula, Marcia Irene Canto, Craig Jones

Visual concept ranking uncovers medical shortcuts used by large multimodal models
Joseph David Janizek, Sonnet Xu, Junayd Lateef, Roxana Daneshjou

A Data-Driven Approach towards Improving Deceased-Donor Kidney Utilization
Aditya Shankar Garg, Itai Feigenbaum, Jay Sethuraman, Sumit Mohan, Miko E. Yu

The Cost of Binarizing Survival Outcomes in Clinical Prognostic Modeling
Shashank Yadav, Andrew Y. K. Foong, David M. Routman

GPT-Driven Drug Optimization with Structured Policy Optimization Post-training
Xuefeng Liu, Songhao Jiang, Siyu Chen, Zhuoran Yang, Yuxin Chen, Ian T. Foster, Rick L. Stevens

Test-Time Adaptation for EEG Foundation Models: A Systematic Study under Real-World Distribution Shifts
Gabriel Jason Lee, Jathurshan Pradeepkumar, Jimeng Sun

Beyond Dice: Clinically Structured Bias Analysis of Multiple Sclerosis Lesion Segmentation Models
Abdul Basit, Namik Hassan, Muhammad Shafique

Censoring-Aware Reinforcement Learning to Optimize Early Risk Alerts from Longitudinal Clinical Data
Qin Weng, Matthew M. Engelhard

Composable Parameter-Level Reinforcement Learning for Dual-Chamber Pacemaker Programming
Leqi Jia

Improving Negation Handling in Medical Vision-Language Models through Negation-Aware Selective Training (NAST)
Ali Abbasi, Mehdi Taghipour, Rahmatollah Beheshti

Structural Age Bias in ICU Acuity Scores: Mechanistic Decompositions and Fairness-Aware Predictive Models for Equitable Critical Care
Bryan Cheng, Austin Jin, Arnav Pemmaraju, Joshua Chang

A Neural Causal Framework for Modeling Clinical Observation Processes: Sepsis Monitoring, Equity Auditing, and Budget-Constrained Laboratory Scheduling
Bryan Cheng, Austin Jin, Brendan Lo, Joshua Chang