NAST: Improving Negation Handling in Medical Vision–Language Models through Negation-Aware Selective Training

Ali Abbasi, Mehdi Taghipour, Rahmatollah Beheshti; Proceedings of the 11th Machine Learning for Healthcare Conference, PMLR 340:1-29

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FSA-Bench: Benchmarking Federated Survival Models

Sultan Ahmed, Sanjay Purushotham; Proceedings of the 11th Machine Learning for Healthcare Conference, PMLR 340:30-54

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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; Proceedings of the 11th Machine Learning for Healthcare Conference, PMLR 340:55-76

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Annotation-Assisted Learning of Treatment Policies From Multimodal Electronic Health Records

Henri Arno, Thomas Demeester; Proceedings of the 11th Machine Learning for Healthcare Conference, PMLR 340:77-110

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GRAFT: Decoupling Ranking and Calibration for Survival Analysis

Mohammad Ashhad, Robert Hoehndorf, Ricardo Henao; Proceedings of the 11th Machine Learning for Healthcare Conference, PMLR 340:111-140

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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; Proceedings of the 11th Machine Learning for Healthcare Conference, PMLR 340:141-167

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Doubly valid and doubly sharp sensitivity analysis to unobserved confounding for survival outcomes

Jean-Baptiste Baitairian, Bernard Sebastien, Rana JREICH, Sandrine Katsahian, Agathe Guilloux; Proceedings of the 11th Machine Learning for Healthcare Conference, PMLR 340:168-213

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Early-Horizon Multimodal ICU Mortality Prediction Without Retraining

Alexander Bakumenko, Dane Hudson Smith, Janine Hoelscher; Proceedings of the 11th Machine Learning for Healthcare Conference, PMLR 340:214-240

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ReXavatars: Evaluating Generated Patient Images for Clinical Realism and Reliability

Oishi Banerjee, Alexandra N. Willauer, Pranav Rajpurkar; Proceedings of the 11th Machine Learning for Healthcare Conference, PMLR 340:241-261

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Beyond Dice: Clinically Structured Bias Analysis of Multiple Sclerosis Lesion Segmentation Models

Abdul Basit, Namik Hassan, Muhammad Shafique; Proceedings of the 11th Machine Learning for Healthcare Conference, PMLR 340:262-282

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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, Luis Filipe Nakayama, Michael G Morley, Liyue Shen, Jiasi Chen, Z. Morley Mao; Proceedings of the 11th Machine Learning for Healthcare Conference, PMLR 340:283-313

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Uncertainty-Aware mRMR for Transferable Feature Selection in High-Dimensional, Low-Sample-Size Biomedical Data

Xuehan Chen, Brian D. Davison; Proceedings of the 11th Machine Learning for Healthcare Conference, PMLR 340:314-335

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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; Proceedings of the 11th Machine Learning for Healthcare Conference, PMLR 340:336-393

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Tree of Concepts: Interpretable Continual Learners in Non-Stationary Clinical Domains

Dongkyu Cho, Xiyue Li, Samrachana Adhikari, Rumi Chunara; Proceedings of the 11th Machine Learning for Healthcare Conference, PMLR 340:394-409

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Decision-Informed Online Conformal Prediction for ICU Resource Allocation

Chandra Dronavajjala; Proceedings of the 11th Machine Learning for Healthcare Conference, PMLR 340:410-434

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Possible or Definite? A Benchmark for Evaluating Diagnostic Uncertainty Preservation in Clinical Text

Hongbo Du, Zixin Lu, Jiaming Qu; Proceedings of the 11th Machine Learning for Healthcare Conference, PMLR 340:435-460

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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; Proceedings of the 11th Machine Learning for Healthcare Conference, PMLR 340:461-494

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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; Proceedings of the 11th Machine Learning for Healthcare Conference, PMLR 340:495-520

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A Data-Driven Approach towards Improving Deceased-Donor Kidney Utilization

Aditya Shankar Garg, Itai Feigenbaum, Miko E. Yu, Sumit Mohan, Jay Sethuraman; Proceedings of the 11th Machine Learning for Healthcare Conference, PMLR 340:521-549

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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; Proceedings of the 11th Machine Learning for Healthcare Conference, PMLR 340:550-583

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Amortized Data Borrowing with Exchangeability-Aware Neural Posterior Estimation

Chin-Hung Huang, JooChul Lee, Huan He; Proceedings of the 11th Machine Learning for Healthcare Conference, PMLR 340:584-610

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Synthesizing Post-Acetazolamide Cerebral Blood Flow Maps from Baseline MRI in Moyamoya Using 3D Generative AI

Julia Huang, Camila Gonzalez, Rydham Goyal, Aja Zou, Sasha Alexander, Michael Moseley, Moss Y. Zhao, Gary K. Steinberg; Proceedings of the 11th Machine Learning for Healthcare Conference, PMLR 340:611-635

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Shortcut-Aware Modeling of Serial ECGs for Cardiac Sarcoidosis

Humza A. Iqbal, David Birnie, Christopher LF Sun; Proceedings of the 11th Machine Learning for Healthcare Conference, PMLR 340:636-660

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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; Proceedings of the 11th Machine Learning for Healthcare Conference, PMLR 340:661-689

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Visual concept ranking uncovers medical shortcuts used by large multimodal models

Joseph David Janizek, Sonnet Xu, Junayd Lateef, Roxana Daneshjou; Proceedings of the 11th Machine Learning for Healthcare Conference, PMLR 340:690-729

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

Leqi Jia; Proceedings of the 11th Machine Learning for Healthcare Conference, PMLR 340:730-754

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KMGen: A Skill-based Approach for Synthetic Individual Patient Data Generation

Jalen Jiang, Chufan Gao, Ethan Rasmussen, Stephen Z. Xie, Jimeng Sun; Proceedings of the 11th Machine Learning for Healthcare Conference, PMLR 340:755-814

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SHIFT-M3: Pre-fusion Alignment-based Consistency Screening for Multimodal ECG Record Integrity

Md Ashik Khan, Md Nahid Siddique; Proceedings of the 11th Machine Learning for Healthcare Conference, PMLR 340:815-834

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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; Proceedings of the 11th Machine Learning for Healthcare Conference, PMLR 340:835-885

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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; Proceedings of the 11th Machine Learning for Healthcare Conference, PMLR 340:886-912

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Survival Analysis with Limited Overlap and Censoring Distribution Shift

Meera Krishnamoorthy, Donna Tjandra, Divya M Shanmugam, Amanda E. Kowalski, Jenna Wiens; Proceedings of the 11th Machine Learning for Healthcare Conference, PMLR 340:913-947

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Test-Time Adaptation for EEG Foundation Models: A Systematic Study under Real-World Distribution Shifts

Gabriel Jason Lee, Jathurshan Pradeepkumar, Jimeng Sun; Proceedings of the 11th Machine Learning for Healthcare Conference, PMLR 340:948-984

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SPARK: Lightweight Adaptation of Healthcare Foundation Models via Steering Knowledge Circuits

Bing Li, Qiang Fu, Yuwei Long, Huiyuan Yang; Proceedings of the 11th Machine Learning for Healthcare Conference, PMLR 340:985-1012

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Handling onset age inconsistencies in longitudinal healthcare survey data

Wanxin Li, MING YUAN, Yongjin P Park, Khanh Dao Duc; Proceedings of the 11th Machine Learning for Healthcare Conference, PMLR 340:1013-1055

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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; Proceedings of the 11th Machine Learning for Healthcare Conference, PMLR 340:1056-1088

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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; Proceedings of the 11th Machine Learning for Healthcare Conference, PMLR 340:1089-1116

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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; Proceedings of the 11th Machine Learning for Healthcare Conference, PMLR 340:1117-1139

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Adaptive Multi-Agent Feature Selection for Personalized Fall Risk Prevention

Chang Liu, Ladda Thiamwong, Yanjie Fu, Rui Xie; Proceedings of the 11th Machine Learning for Healthcare Conference, PMLR 340:1140-1177

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LLM-Extracted Covariates for Clinical Causal Inference: Rethinking Integration Strategies

Lei Liu, Jialin Chen, Kathy Macropol; Proceedings of the 11th Machine Learning for Healthcare Conference, PMLR 340:1178-1207

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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; Proceedings of the 11th Machine Learning for Healthcare Conference, PMLR 340:1208-1242

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WILLIE: A Unified Framework and Benchmark for Wound Classification, Segmentation, and Localization.

Gopi Trinadh Maddikunta, Peizhu Qian; Proceedings of the 11th Machine Learning for Healthcare Conference, PMLR 340:1243-1263

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The Severity Trap: Benchmarking Sequential Representation Learning for Oxygenation Trajectory Phenotyping in Acute Hypoxaemic Respiratory Failure

Dominic C Marshall, Nikita Narayanan, David B Antcliffe, Sonali Parbhoo; Proceedings of the 11th Machine Learning for Healthcare Conference, PMLR 340:1264-1299

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Paired Recipient-based Evaluation of Survival Prediction for Deceased Donor Kidney Transplants

Misaki Matsuura, Mohammadreza Nemati, Dulat Bekbolsynov, Stanislaw Stepkowski, Kevin S. Xu; Proceedings of the 11th Machine Learning for Healthcare Conference, PMLR 340:1300-1320

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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; Proceedings of the 11th Machine Learning for Healthcare Conference, PMLR 340:1321-1339

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Evaluating Large Language Models on Misconceptions in Multi-Turn Medical Conversations

Monica Munnangi, Saiph Savage; Proceedings of the 11th Machine Learning for Healthcare Conference, PMLR 340:1340-1366

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Human–AI Deferral under Limited Expert Availability: A Study in Intraoperative Ischemia Detection

Nihal Murali, Karim Elzokm, Parthasarathy Thirumala, kayhan Batmanghelich, Shyam Visweswaran; Proceedings of the 11th Machine Learning for Healthcare Conference, PMLR 340:1367-1402

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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; Proceedings of the 11th Machine Learning for Healthcare Conference, PMLR 340:1403-1431

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From Forecasting to Features: Zero-Shot Forecasting for Feature Extraction

Nassim Oufattole, Matthew B.A. McDermott, Collin Stultz; Proceedings of the 11th Machine Learning for Healthcare Conference, PMLR 340:1432-1487

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EHR-MPC: Inference-Time Control for Sepsis Treatment with Generative Patient Digital Twins

Joshua Pickard, Wei Qi, Na Li, Ann Woolley, Lisa A. Cosimi, Roy Kishony, Deborah Hung; Proceedings of the 11th Machine Learning for Healthcare Conference, PMLR 340:1488-1516

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Privacy Audits for Clinical Large Language Models

Florent Pollet, Kirill Nikitin, Tong Wang, Rahul Gupta, Noémie Elhadad, Gamze Gursoy; Proceedings of the 11th Machine Learning for Healthcare Conference, PMLR 340:1517-1536

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CARE-X: Towards Clinically Useful Radiology VLMs with 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; Proceedings of the 11th Machine Learning for Healthcare Conference, PMLR 340:1537-1580

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Detecting Clinical Discrepancies in Health Coaching Agents: A Dual-Stream Memory and Reconciliation Architecture

Samuel L Pugh, Eric Yang, Alexander Muir Sutherland, Alessandra Breschi; Proceedings of the 11th Machine Learning for Healthcare Conference, PMLR 340:1581-1612

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Benchmarking Machine Learning Architectures for Antimicrobial Stewardship in Pediatric ICUs

Niklas Raehse, Luregn J Schlapbach, Daphné Chopard; Proceedings of the 11th Machine Learning for Healthcare Conference, PMLR 340:1613-1666

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Attention-Enhanced Deep Generative Modeling Enables Interpretable Prediction of Cancer Drug Sensitivity

Shuangxia Ren, AODONG QIU, Mengyao Lu, Xinghua Lu; Proceedings of the 11th Machine Learning for Healthcare Conference, PMLR 340:1667-1688

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

Kihun Rhee; Proceedings of the 11th Machine Learning for Healthcare Conference, PMLR 340:1689-1725

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Causal Discovery of Radiation Response Mechanisms in Human Cells

Ashka Shah, Rick Stevens; Proceedings of the 11th Machine Learning for Healthcare Conference, PMLR 340:1726-1750

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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; Proceedings of the 11th Machine Learning for Healthcare Conference, PMLR 340:1751-1790

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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; Proceedings of the 11th Machine Learning for Healthcare Conference, PMLR 340:1791-1833

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Auditing Measurement Processes in Clinical Registries: Detecting Label–Environment Confounding Before Model Development

Apurv Shukla, Pravansu Mohanty, Devin L McCaslin; Proceedings of the 11th Machine Learning for Healthcare Conference, PMLR 340:1834-1864

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

Arjun Sondhi; Proceedings of the 11th Machine Learning for Healthcare Conference, PMLR 340:1865-1891

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MotionAge: A Deep Learning Framework for Biological Age Prediction from Wearable Activity

Yilin Song, Jiaqi Yin, Yirou Hu, Tian Gu; Proceedings of the 11th Machine Learning for Healthcare Conference, PMLR 340:1892-1920

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Change Point–Aware Evaluation and Re-Calibration of PPG-Based Blood Pressure Estimation

Yunwon Tae, Minje Park, Gyunho Rho, Dongjoon Yoo, Sunghoon Joo; Proceedings of the 11th Machine Learning for Healthcare Conference, PMLR 340:1921-1949

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Evidence Against Homogeneity: Identifying Process Mismatch for Copy Number Variation Detection

Austin Talbot, Alex V. Kotlar, Yue Ke; Proceedings of the 11th Machine Learning for Healthcare Conference, PMLR 340:1950-1975

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Combining Bayesian and Frequentist Inference for Laboratory-Specific Performance Guarantees in Copy Number Variation Detection

Austin Talbot, Alex V. Kotlar, Yue Ke; Proceedings of the 11th Machine Learning for Healthcare Conference, PMLR 340:1976-1997

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Hierarchical Modeling of ICD Codes in EHR Foundation Models

Megha Thukral, Dong Gyun Kang, Rudra Pratap Singh, Shruthi Kashinath Hiremath, Katrin Hänsel, Thomas Ploetz; Proceedings of the 11th Machine Learning for Healthcare Conference, PMLR 340:1998-2029

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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; Proceedings of the 11th Machine Learning for Healthcare Conference, PMLR 340:2030-2054

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Real-world sleep phenotyping in autism: compliance, domain shift, and scalable wearable biomarkers

Sanketh Vedula, Andrew Kim, Manoj Kumar, Olga Troyanskaya, Guillermo Sapiro; Proceedings of the 11th Machine Learning for Healthcare Conference, PMLR 340:2055-2108

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Key Coverage Matters: Semi-Structured Extraction of OCR Clinical Reports

Yu Wang, Yingyun Li, Ying QIN, Haiyang Qian; Proceedings of the 11th Machine Learning for Healthcare Conference, PMLR 340:2109-2130

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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; Proceedings of the 11th Machine Learning for Healthcare Conference, PMLR 340:2131-2150

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Censoring-Aware Reinforcement Learning to Optimize Early Risk Alerts from Longitudinal Clinical Data

Qin Weng, Benjamin Goldstein, Matthew M. Engelhard; Proceedings of the 11th Machine Learning for Healthcare Conference, PMLR 340:2151-2174

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Learning Representations from Incomplete EHR Data with Dual-Masked Autoencoding

Xiao Xiang, David Restrepo, Hyewon Jeong, Yugang Jia, Leo Anthony Celi; Proceedings of the 11th Machine Learning for Healthcare Conference, PMLR 340:2175-2201

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The Cost of Binarizing Survival Outcomes in Clinical Prognostic Modeling

Shashank Yadav, David M. Routman, Andrew Y. K. Foong; Proceedings of the 11th Machine Learning for Healthcare Conference, PMLR 340:2202-2226

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Estimating Upcoding in Medicare Advantage: Identifying Contributors, Costs, and Mechanisms

Dylan Zapzalka, Muskaan Mittal, Jenna Wiens, Maggie Makar; Proceedings of the 11th Machine Learning for Healthcare Conference, PMLR 340:2227-2256

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Toward Better Assessment of LLMs’ Performance in Clinical Error Detection

Yifan Zhang, Rahmatollah Beheshti; Proceedings of the 11th Machine Learning for Healthcare Conference, PMLR 340:2257-2290

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