APRIL: Annotations for Policy evaluation with Reliable Inference from LLMs

Aishwarya Mandyam, Kalyani Limaye, Barbara E. Engelhardt, Emily Alsentzer; Proceedings of the Fifth Machine Learning for Health Symposium, PMLR 297:1-22

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Topoformer: Topology-Infused Transformers for Medical Imaging

Sayoni Chakraborty, Philmore Koung, Baris Coskunuzer; Proceedings of the Fifth Machine Learning for Health Symposium, PMLR 297:23-40

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TopoCAM: ROI-Driven Topological Signatures in 3D Medical Imaging

Brighton Nuwagira, Philmore Koung, Baris Coskunuzer; Proceedings of the Fifth Machine Learning for Health Symposium, PMLR 297:41-54

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Identifying treatment response subgroups in observational time-to-event data

Vincent Jeanselme, Chang Ho Yoon, Fabian Falck, Brian Tom, Jessica Barrett; Proceedings of the Fifth Machine Learning for Health Symposium, PMLR 297:55-75

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Investigating RAG-based Approaches in Clinical Trial and Patient Matching

Daniel León Tramontini, Shrestha Ghosh, Carsten Eickhoff; Proceedings of the Fifth Machine Learning for Health Symposium, PMLR 297:76-87

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Bayesian Event-Based Model for Disease Subtype and Stage Inference

Hongtao Hao, Joseph L. Austerweil; Proceedings of the Fifth Machine Learning for Health Symposium, PMLR 297:88-119

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PhysioJEPA: Joint Embedding Representations of Physiological Signals for Real Time Risk Estimation in the Intensive Care Unit

Benjamin Fox, Dung Hoang, Joy Jiang, Pushkala Jayaraman, Ankit Parekh, Girish N. Nadkarni, Ankit Sakhuja; Proceedings of the Fifth Machine Learning for Health Symposium, PMLR 297:120-135

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What do LLMs value? An evaluation framework for revealing subjective trade-offs in assessment of glycemic control

Payal Chandak, Elizabeth Healey, Maria F. Villa-Tamayo, Agatha F. Scheideman, Mandy M. Shao, Chiara Fabris, Kenneth D. Mandl, Isaac Kohane, David C. Klonoff; Proceedings of the Fifth Machine Learning for Health Symposium, PMLR 297:136-151

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GPT-RagAD: Two-layer Retrieval-Augmented Multilingual Diagnosis System

Xinyi Liu, Dachun Sun, Yi R. Fung, Dilek Hakkani-Tür, Tarek Abdelzaher; Proceedings of the Fifth Machine Learning for Health Symposium, PMLR 297:152-166

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Data-Driven Discovery of Feature Groups in Clinical Time Series

Fedor Sergeev, Manuel Burger, Polina Leshetkina, Vincent Fortuin, Gunnar Rätsch, Rita Kuznetsova; Proceedings of the Fifth Machine Learning for Health Symposium, PMLR 297:167-201

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Multimodal Cancer Modeling in the Age of Foundation Model Embeddings

Steven Song, Morgan Borjigin-Wang, Irene R. Madejski, Robert L. Grossman; Proceedings of the Fifth Machine Learning for Health Symposium, PMLR 297:202-227

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Clinically-aligned Multi-modal Chest X-ray Classification

Phillip Sloan, Edwin Simpson, Majid Mirmehdi; Proceedings of the Fifth Machine Learning for Health Symposium, PMLR 297:228-242

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Interpreting Dataset Shift in Clinical Notes

Shariar Vaez-Ghaemi, Furong Jia, Monica Agrawal; Proceedings of the Fifth Machine Learning for Health Symposium, PMLR 297:243-262

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One VLM, Two Roles: Stage-Wise Routing and Specialty-Level Deployment for Clinical Workflows

Shayan Vassef, Soorya Ram Shimgekar, Abhay Goyal, Christian Poellabauer, Koustuv Saha, Pi Zonooz, Navin Kumar; Proceedings of the Fifth Machine Learning for Health Symposium, PMLR 297:263-274

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CancerGUIDE: Cancer Guideline Understanding via Internal Disagreement Estimation

Alyssa Unell, Noel C. F. Codella, J. Samuel Preston, Peniel Argaw, Wen-wai Yim, Zelalem Gero, Cliff Wong, Rajesh Jena, Eric Horvitz, Amanda K. Hall, Rachel Ruican Zhong, Jiachen Li, Shrey Jain, Mu Wei, Matthew P. Lungren, Hoifung Poon; Proceedings of the Fifth Machine Learning for Health Symposium, PMLR 297:275-294

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Beyond the Clinic: A Large-Scale Evaluation of Augmenting EHR with Wearable Data for Diverse Health Prediction

Will Ke Wang, Rui Yang, Chao Pang, Karthik Natarajan, Nan Liu, Daniel McDuff, David J. Slotwiner, Fei Wang, Matthew B.A. McDermott, Xuhai Xu; Proceedings of the Fifth Machine Learning for Health Symposium, PMLR 297:295-309

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NOVA: An Agentic Framework for Automated Histopathology Analysis and Discovery

Anurag J. Vaidya, Felix Meissen, Daniel C. Castro, Shruthi Bannur, Tristan Lazard, Drew F. K. Williamson, Faisal Mahmood, Javier Alvarez-Valle, Stephanie L. Hyland, Kenza Bouzid; Proceedings of the Fifth Machine Learning for Health Symposium, PMLR 297:310-349

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Enhancing Surgical Documentation through Multimodal Visual-Temporal Transformers and Generative AI

Cristian Cosentino, Hugo Georgenthum, Fabrizio Marozzo, Pietro Liò; Proceedings of the Fifth Machine Learning for Health Symposium, PMLR 297:350-368

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m1: Unleash the Potential of Test-Time Scaling for Medical Reasoning with Large Language Models

Xiaoke Huang, Juncheng Wu, Hui Liu, Xianfeng Tang, Yuyin Zhou; Proceedings of the Fifth Machine Learning for Health Symposium, PMLR 297:369-383

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MedVLThinker: Simple Baselines for Multimodal Medical Reasoning

Xiaoke Huang, Juncheng Wu, Hui Liu, Xianfeng Tang, Yuyin Zhou; Proceedings of the Fifth Machine Learning for Health Symposium, PMLR 297:384-398

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TempoQL: A Readable, Precise, and Portable Query System for Electronic Health Record Data

Ziyong Ma, Richard D. Boyce, Adam Perer, Venkatesh Sivaraman; Proceedings of the Fifth Machine Learning for Health Symposium, PMLR 297:399-423

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Evaluating Reasoning Faithfulness in Medical Vision-Language Models using Multimodal Perturbations

Johannes Moll, Markus Graf, Tristan Lemke, Nicolas Lenhart, Daniel Truhn, Jean-Benoit Delbrouck, Jiazhen Pan, Daniel Rueckert, Lisa C. Adams, Keno K. Bressem; Proceedings of the Fifth Machine Learning for Health Symposium, PMLR 297:424-448

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Offline Surgical QA with Decomposed Retrieval and Synthesis for Resource-Constrained Settings

Kiran Bhattacharyya; Proceedings of the Fifth Machine Learning for Health Symposium, PMLR 297:449-472

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Boosting Phonocardiogram Classification Performance with Function Generated Data

Naoki Nonaka, Hiroshi Seki, Tomohiro Komatsu, Jun Seita; Proceedings of the Fifth Machine Learning for Health Symposium, PMLR 297:473-524

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AI Psychiatrist Assistant: An LLM-based Multi-Agent System for Depression Assessment from Clinical Interviews

Adam Greene, Neviah Blair, Samin Mahdipour Aghabagher, Simmi Kumari, Michael W. Schlund, Alex Fedorov, Vince D. Calhoun, Xinhui Li, Rogers F. Silva; Proceedings of the Fifth Machine Learning for Health Symposium, PMLR 297:525-542

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MENSA: A Multi-Event Network for Survival Analysis with Trajectory-based Likelihood Estimation

Christian Marius Lillelund, Ali Hossein Gharari Foomani, Weijie Sun, Shi-ang Qi, Russell Greiner,  The Pooled Resource Open-Access ALS Clinical Trials Consortium (PRO-ACT); Proceedings of the Fifth Machine Learning for Health Symposium, PMLR 297:543-571

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Beyond Diagnosis: Evaluating Multimodal LLMs for Pathology Localization in Chest Radiographs

Advait Gosai, Arun Kavishwar, Stephanie L. McNamara, Soujanya Samineni, Renato Umeton, Alexander Chowdhury, William Lotter; Proceedings of the Fifth Machine Learning for Health Symposium, PMLR 297:572-587

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xMADD: A Unified Diffusion Framework for Conditioned Synthesis of Medical Images and Waveforms

Sam Freesun Friedman, Sana Tonekaboni, Arash A. Nargesi, Caroline Uhler, Mahnaz Maddah; Proceedings of the Fifth Machine Learning for Health Symposium, PMLR 297:588-604

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Empowering Health in Aging Populations: A Multimodal Vulnerability Tool for Frail Patients

Joanna G. Kondylis, Houman Javedan, Dimitris Bertsimas, Bharti Khurana; Proceedings of the Fifth Machine Learning for Health Symposium, PMLR 297:605-628

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Rad-Phi4-Vision-CXR: A Compact Multimodal Assistant for Versatile Radiology Workflows

Mercy Prasanna Ranjit, Anirban Porya, Shaury Srivastav, Niharika Vadlamudi, Nikhilesh Chowdary Eathamukkala, Shashank Udyavar, Rahul Kumar, Tanuja Ganu; Proceedings of the Fifth Machine Learning for Health Symposium, PMLR 297:629-660

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Balancing Safety and Helpfulness in Healthcare AI Assistants through Iterative Preference Alignment

Huy Nghiem, Swetasudha Panda, Devashish Khatwani, Huy V. Nguyen, Krishnaram Kenthapadi, Hal Daumé III; Proceedings of the Fifth Machine Learning for Health Symposium, PMLR 297:661-696

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Let the Experts Speak: Improving Survival Prediction & Calibration via Mixture-of-Experts Heads

Todd Morrill, Aahlad Puli, Murad Megjhani, Soojin Park, Richard Zemel; Proceedings of the Fifth Machine Learning for Health Symposium, PMLR 297:697-720

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Dialogue to Question Generation for Evidence-based Medical Guideline Agent Development

Zongliang Ji, Ziyang Zhang, Xincheng Tan, Matthew Thompson, Anna Goldenberg, Carl Yang, Rahul G. Krishnan, Fan Zhang; Proceedings of the Fifth Machine Learning for Health Symposium, PMLR 297:721-739

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Group-Sparse Manifold-Aware Integrated Gradients for Multimodal Transformers on EHR Trajectories

Ali Amirahmadi, Farzaneh Etminani, Mattias Ohlsson; Proceedings of the Fifth Machine Learning for Health Symposium, PMLR 297:740-758

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Toward Valid Generative Clinical Trial Data with Survival Endpoints

Perrine Chassat, Van Tuan Nguyen, Lucas Ducrot, Emilie Lanoy, Agathe Guilloux; Proceedings of the Fifth Machine Learning for Health Symposium, PMLR 297:759-791

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A Bayesian Model for Multi-stage Censoring

Shuvom Sadhuka, Sophia Lin, Bonnie Berger, Emma Pierson; Proceedings of the Fifth Machine Learning for Health Symposium, PMLR 297:792-806

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Pragmatic Policy Development via Interpretable Behavior Cloning

Anton Matsson, Yaochen Rao, Heather J. Litman, Fredrik D. Johansson; Proceedings of the Fifth Machine Learning for Health Symposium, PMLR 297:807-825

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Federated Variational Inference for Bayesian Mixture Models

Jackie Rao, Francesca L. Crowe, Tom Marshall, Sylvia Richardson, Paul D. W. Kirk; Proceedings of the Fifth Machine Learning for Health Symposium, PMLR 297:826-863

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Context-Aware Filtering of Unstructured Radiology Reports by Anatomical Region

Zakk Heile, Pranav Manjunath, Brian Lerner, Samuel Berchuck, Monica Agrawal, Timothy W. Dunn; Proceedings of the Fifth Machine Learning for Health Symposium, PMLR 297:864-885

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Prostate-VarBench: A Benchmark with Interpretable TabNet Framework for Prostate Cancer Variant Classification

Abraham Francisco Arellano Tavara, Umesh Kumar, Jathurshan Pradeepkumar, Jimeng Sun; Proceedings of the Fifth Machine Learning for Health Symposium, PMLR 297:886-897

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RadGame: An AI-Powered Platform for Radiology Education

Mohammed Baharoon, Siavash Raissi, John S. Jun, Thibault Heintz, Mahmoud Alabbad, Ali Alburkani, Sung Eun Kim, Kent Kleinschmidt, Abdulrahman O. Alhumaydhi, Mohannad Mohammed G. Alghamdi, Jeremy Francis Palacio, Mohammed Bukhaytan, Noah Michael Prudlo, Rithvik Akula, Brady Chrisler, Benjamin Galligos, Mohammed O. Almutairi, Mazeen Mohammed Alanazi, Nasser M. Alrashdi, Joel Jihwan Hwang, Sri Sai Dinesh Jaliparthi, Luke David Nelson, Nathaniel Nguyen, Sathvik Suryadevara, Steven Kim, Mohammed F. Mohammed, Yevgeniy R. Semenov, Kun-Hsing Yu, Abdulrhman Aljouie, Hassan AlOmaish, Adam Rodman, Pranav Rajpurkar; Proceedings of the Fifth Machine Learning for Health Symposium, PMLR 297:898-920

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Concept-Enhanced Automatic ICD Coding using Large Language Models

Md Shahrar Fatemi, Zhan Shi, Joel Saltz, Klaus Mueller, Tengfei Ma; Proceedings of the Fifth Machine Learning for Health Symposium, PMLR 297:921-935

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Leveraging Foundation Models for Histological Grading in Cutaneous Squamous Cell Carcinoma using PathFMTools

Abdul Rahman Diab, Emily E. Karn, Renchin Wu, Emily S. Ruiz, William Lotter; Proceedings of the Fifth Machine Learning for Health Symposium, PMLR 297:936-951

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Generating Natural-Language Surgical Feedback: From Structured Representation to Domain-Grounded Evaluation

Firdavs Nasriddinov, Rafal Kocielnik, Anima Anandkumar, Andrew J. Hung; Proceedings of the Fifth Machine Learning for Health Symposium, PMLR 297:952-984

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Privacy-Preserving Generative Modeling and Clinical Validation of Longitudinal Health Records for Chronic Disease

Benjamin D. Ballyk, Ankit Gupta, Sujay Konda, Kavitha Subramanian, Chris Landon, Ahmed Ammar Naseer, Georg Maierhofer, Sumanth Swaminathan, Vasudevan Venkateshwaran; Proceedings of the Fifth Machine Learning for Health Symposium, PMLR 297:985-1006

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Comparing Computational Pathology Foundation Models using Representational Similarity Analysis

Vaibhav Mishra, William Lotter; Proceedings of the Fifth Machine Learning for Health Symposium, PMLR 297:1007-1022

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From Zero-Shot to Bedside: A Practical Playbook for Adapting Open-Source Large Language Models to Clinical Symptom Extraction

Li-Ching Chen, Travis Zack, Divneet Mandair, Aditya Mahadevan, Arvind Suresh, Yuta Ishiyama, Yiping Li, Julian C. Hong, Atul J. Butte; Proceedings of the Fifth Machine Learning for Health Symposium, PMLR 297:1023-1046

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ImmSET: Sequence-Based Predictor of TCR-pMHC Specificity at Scale

Marco Garcia Noceda, Matthew T. Noakes, Andrew FigPope, Daniel E. Mattox, Bryan Howie, Harlan Robins; Proceedings of the Fifth Machine Learning for Health Symposium, PMLR 297:1047-1074

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SySDEM - Synthetic and Stratified Degradations for Evaluating Metrics for Long-Form Text in Medical Domain

Naveen Jafer Nizar, Qinlan Shen, Sumana Srivatsa, Krishnaram Kenthapadi; Proceedings of the Fifth Machine Learning for Health Symposium, PMLR 297:1075-1095

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Deep Kernel Aalen-Johansen Estimator: An Interpretable and Flexible Neural Net Framework for Competing Risks

Xiaobin Shen, George H. Chen; Proceedings of the Fifth Machine Learning for Health Symposium, PMLR 297:1096-1125

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Visual Medical Entity Linking with VELCRO

Kathryn Carbone, Liam Hebert, Robin Cohen, Lukasz Golab; Proceedings of the Fifth Machine Learning for Health Symposium, PMLR 297:1126-1140

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An Agentic System for Automated Data Curation and Analysis in Large-Scale Biobanks

Chang-Uk Jeong, Jaesik Kim, Jaehyun Joo, Byounghan Lee, Yang-Gyun Kim, Dokyoon Kim; Proceedings of the Fifth Machine Learning for Health Symposium, PMLR 297:1141-1158

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STAMP: Spatial-Temporal Adapter with Multi-Head Pooling

Brad Shook, Abby Turner, Jieshi Chen, Michal Wilinski, Mononito Goswami, Jonathan Elmer, Artur Dubrawski; Proceedings of the Fifth Machine Learning for Health Symposium, PMLR 297:1159-1177

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RELATE: Relation Extraction in Biomedical Abstracts with LLMs and Ontology Constraints

Olawumi Olasunkanmi, Matthew Satusky, Hong Yi, Chris Bizon, Harlin Lee, Stanley Ahalt; Proceedings of the Fifth Machine Learning for Health Symposium, PMLR 297:1178-1193

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New-Onset Diabetes Assessment Using Artificial Intelligence-Enhanced Electrocardiography

Hao Zhang, Neil Jethani, Aahlad Puli, Leonid Garber, Lior Jankelson, Yindalon Aphinyanaphongs, Rajesh Ranganath; Proceedings of the Fifth Machine Learning for Health Symposium, PMLR 297:1194-1217

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FeatureEndo-4DGS: Real-Time Deformable Surgical Scene Reconstruction and Segmentation with 4D Gaussian Splatting

Kai Li, Junhao Wang, William Han, Ding Zhao; Proceedings of the Fifth Machine Learning for Health Symposium, PMLR 297:1218-1234

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Exploring Time-Step Size in Reinforcement Learning for Sepsis Treatment

Yingchuan Sun, Shengpu Tang; Proceedings of the Fifth Machine Learning for Health Symposium, PMLR 297:1235-1252

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An Agentic Approach to Phenotype Mapping from Rare Disease Surveys

Jipeng Di, Julie Renee Vaughn, Joshua Proulx, Sadie Nordstrand, Bryce Daines, Katrisa Madeline Ward, Philip J. Lupo, Jianhong Hu, Mullai Murugan, Adam W. Hansen; Proceedings of the Fifth Machine Learning for Health Symposium, PMLR 297:1253-1268

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Guardian-regularized Safe Offline Reinforcement Learning for Smart Weaning of Mechanical Circulatory Devices

Aysin Tumay, Sophia Sun, Sonia Fereidooni, Aaron Dumas, Elise Jortberg, Rose Yu; Proceedings of the Fifth Machine Learning for Health Symposium, PMLR 297:1269-1296

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FHIR-AgentBench: Benchmarking LLM Agents for Realistic Interoperable EHR Question Answering

Gyubok Lee, Elea Bach, Eric Yang, Tom Pollard, Alistair Johnson, Edward Choi, Yugang Jia, Jong Ha Lee; Proceedings of the Fifth Machine Learning for Health Symposium, PMLR 297:1297-1315

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PaDIS-MRI: Patch-Based Diffusion for Data-Efficient, Radiologist-Preferred MRI Reconstruction

Rohan Sanda, Asad Aali, Andrew Johnston, Eduardo Reis, Gordon Wetzstein, Sara Fridovich-Keil; Proceedings of the Fifth Machine Learning for Health Symposium, PMLR 297:1316-1335

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Uncertainty-Aware Logistic Regression with Gray-Zone Refinement for Predicting Response to Neoadjuvant Chemotherapy in Breast Cancer

Aixa Ximena Torres Fuertes, Fatima R. Jara Cuya, Rodrigo Romero Tello, Jesus A. Sullon Silva, Ariana M. Villegas Suarez; Proceedings of the Fifth Machine Learning for Health Symposium, PMLR 297:1336-1345

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From 2D to 3D Without Extra Baggage: Data-Efficient Cancer Detection in Digital Breast Tomosynthesis

Yen Nhi Truong Vu, Dan Guo, Sripad Joshi, Harshit Kumar, Jason Su, Thomas Paul Matthews; Proceedings of the Fifth Machine Learning for Health Symposium, PMLR 297:1346-1359

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Classifying Phonotrauma Severity from Vocal Fold Images with Soft Ordinal Regression

Katie Matton, Purvaja Balaji, Hamzeh Ghasemzadeh, Jameson Cooper, Daryush D. Mehta, Jarrad H. Van Stan, Robert E. Hillman, Rosalind Picard, John Guttag, S. Mazdak Abulnaga; Proceedings of the Fifth Machine Learning for Health Symposium, PMLR 297:1360-1375

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Coefficient of Variation Masking: A Volatility-Aware Strategy for EHR Foundation Models

Rajna Fani, Rafi Al Attrach, David Restrepo, Yugang Jia, Leo Anthony Celi, Peter Schüffler; Proceedings of the Fifth Machine Learning for Health Symposium, PMLR 297:1376-1391

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Uncovering Trajectory and Topological Signatures in Multimodal Pediatric Sleep Embeddings

Scott Ye, Harlin Lee; Proceedings of the Fifth Machine Learning for Health Symposium, PMLR 297:1392-1411

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Embedding-Space Data Augmentation to Prevent Membership Inference Attacks in Clinical Time Series Forecasting

Marius Fracarolli, Michael Staniek, Stefan Riezler; Proceedings of the Fifth Machine Learning for Health Symposium, PMLR 297:1412-1426

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KarmaTS: A Universal Simulation Platform for Multivariate Time Series with Functional Causal Dynamics

Haixin Li, Yanke Li, Diego Paez-Granados; Proceedings of the Fifth Machine Learning for Health Symposium, PMLR 297:1427-1445

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SCARE: A Benchmark for SQL Correction and Question Answerability Classification for Reliable EHR Question Answering

Gyubok Lee, Woosog Chay, Edward Choi; Proceedings of the Fifth Machine Learning for Health Symposium, PMLR 297:1446-1466

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Joint Progression Modeling (JPM): A Probabilistic Framework for Mixed-Pathology Progression

Hongtao Hao, Joseph L. Austerweil,  the Alzheimer’s Disease Neuroimaging Initiative; Proceedings of the Fifth Machine Learning for Health Symposium, PMLR 297:1467-1515

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MedExpert: An Expert-Annotated Dataset for Medical Chatbot Evaluation

Mahsa Yarmohammadi, Alexandra DeLucia, Lillian C. Chen, Leslie Miller, Heyuan Huang, Sonal Joshi, Jonathan Lasko, Sarah Collica, Ryan Moore, Haoling Qiu, Peter P. Zandi, Damianos Karakos, Mark Dredze; Proceedings of the Fifth Machine Learning for Health Symposium, PMLR 297:1516-1561

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Faithful or Just Plausible? Evaluating the Faithfulness of Closed-Source LLMs in Medical Reasoning

Halimat Afolabi, Zainab Afolabi, Elizabeth Friel, Jude Roberts, Antonio Ji-Xu, Lloyd Chen, Egheosa Ogbomo, Emiliomo Imevbore, Phil Eneje, Wissal El Ouahidi, Aaron Sohal, Alisa Kennan, Shreya Srivastava, Anirudh Vairavan, Laura Napitu, Katie McClure; Proceedings of the Fifth Machine Learning for Health Symposium, PMLR 297:1562-1591

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The CRITICAL Records Integrated Standardization Pipeline (CRISP): End-to-End Processing of Large-scale Multi-institutional OMOP CDM Data

Xiaolong Luo, Michael Lingzhi Li; Proceedings of the Fifth Machine Learning for Health Symposium, PMLR 297:1592-1608

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ClinPath: A General-Purpose Knowledge Graph with LLM Reasoning For Understanding Clinical Interactions

Sahithi Ankireddy, Purvi Sehgal, Adam Wierman; Proceedings of the Fifth Machine Learning for Health Symposium, PMLR 297:1609-1618

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