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Proceedings of Machine Learning Research

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Proceedings of Machine Learning Research
PMLR · 2026-06-30 · via Proceedings of Machine Learning Research

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Volume 333: Conference on Health, Inference, and Learning, 29-30 June 2026, Pauley Ballroom, Martin Luther King Jr. Building at UC Berkeley, Berkeley, USA

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Editors: Elizabeth Healey, Jason Fries, Tom Pollard, Shengpu Tang, Anna Zink, Tom Hartvigsen, Monica Agrawal, Sam Finlayson, Benjamin Glicksberg, Brett Beaulieu-Jones, Kai Wang, Daseyra Fontalvo, Tasmie Sarker, Irene Chen, Emily Alsentzer

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Conference on Health, Inference, and Learning (CHIL) 2026

Elizabeth Healey, Jason Fries, Tom Pollard, Shengpu Tang, Anna Zink, Tom Hartvigsen, Monica Agrawal, Sam Finlayson, Benjamin Glicksberg, Brett Beaulieu-Jones, Kai Wang, Daseyra Fontalvo, Tasmie Sarker, Irene Chen, Emily Alsentzer; Proceedings of the 7th Conference on Health, Inference, and Learning, PMLR 333:1-9

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Reconstructing Sepsis Trajectories from Clinical Case Reports using LLMs: the Textual Time Series Corpus for Sepsis

; Proceedings of the 7th Conference on Health, Inference, and Learning, PMLR 333:10-51

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AgentRx: A Benchmark Study of LLM Agents for Multimodal Clinical Prediction Tasks

Baraa Al Jorf, Farah Shamout; Proceedings of the 7th Conference on Health, Inference, and Learning, PMLR 333:52-73

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Structured Treatment Modeling in Deep Survival Analysis via Hazard Factorization

Natalia Hong, Krishnarajah Nirantharakumar, Christopher Yau; Proceedings of the 7th Conference on Health, Inference, and Learning, PMLR 333:74-91

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ALMo: Interactive Aim-Limit-Defined, Multi-Objective System for Personalized High-Dose-Rate Brachytherapy Treatment Planning and Visualization for Cervical Cancer

Edward Chen, Natalie Dullerud, Pang Wei Koh, Thomas Niedermayr, Elizabeth Kidd, Sanmi Koyejo, Carlos Guestrin; Proceedings of the 7th Conference on Health, Inference, and Learning, PMLR 333:92-113

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A Multi-Dataset Benchmark of Multiple Instance Learning for 3D Neuroimage Classification

Ethan Harvey, Dennis Johan Loevlie, Amir Ali Satani, Wansu Chen, Michael C Hughes; Proceedings of the 7th Conference on Health, Inference, and Learning, PMLR 333:114-133

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Generating synthetic electronic health record data using agent-based models to evaluate machine learning robustness under mass casualty incidents

Roben Delos Reyes, Daniel Capurro, Nicholas Geard; Proceedings of the 7th Conference on Health, Inference, and Learning, PMLR 333:134-147

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LUNGUAGE: A Benchmark for Structured and Sequential Chest X-ray Interpretation

Jong Hak Moon, Geon Choi, Paloma Rabaey, Min Gwan Kim, Jung-Oh Lee, Hyuk Gi Hong, Eun Woo Doe, Hangyul Yoon, Jiyoun Kim, Harshita Sharma, Daniel C Castro, Javier Alvarez-Valle, Edward Choi; Proceedings of the 7th Conference on Health, Inference, and Learning, PMLR 333:148-197

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Survey-Aware Machine Learning: A Guideline for Valid Population Health Inference based on Scoping Review

YongKyung Oh, Henry W Zheng, Jeffrey Feng, Alex A T Bui; Proceedings of the 7th Conference on Health, Inference, and Learning, PMLR 333:198-220

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A Multi-dimensional Framework for Evaluating Generalization in EEG Foundation Models

Aditya Kommineni, Emily Zhou, Kleanthis Avramidis, Tiantian Feng, Shrikanth Narayanan; Proceedings of the 7th Conference on Health, Inference, and Learning, PMLR 333:221-244

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MSnet: A deep neural network based on piecewise-constant proposals within Multi-State event history analysis

Aziliz Cottin, Marine Zulian, Sandrine Katsahian, Agathe Guilloux; Proceedings of the 7th Conference on Health, Inference, and Learning, PMLR 333:245-277

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Adaptive Test-Time Scaling for Zero-Shot Respiratory Audio Classification

Tsai-Ning Wang, Herman Teun den Dekker, Lin-Lin Chen, Neil Zeghidour, Aaqib Saeed; Proceedings of the 7th Conference on Health, Inference, and Learning, PMLR 333:278-294

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MAM: Multinomial Attention Masking for Foundation Models on Sparse Single-Cell RNA-seq Data

Amirreza Naziri, Arash Asgari, Aijun An, Eleftherios Sachlos, Laleh Seyyed-Kalantari; Proceedings of the 7th Conference on Health, Inference, and Learning, PMLR 333:295-311

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LapDDPM: Spectral Perturbation Diffusion for Robust Single-Cell Manifold Generation

Lorenzo Bini, Stephane Marchand-Maillet; Proceedings of the 7th Conference on Health, Inference, and Learning, PMLR 333:312-328

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ALPACA: A Reinforcement Learning Environment for Medication Repurposing and Treatment Optimization in Alzheimer’s Disease

Nolan Brady, Tom Yeh; Proceedings of the 7th Conference on Health, Inference, and Learning, PMLR 333:329-353

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Training-Free Adaptation of New-Generation LLMs using Legacy Clinical Models

Sasha Ronaghi, Chloe Stanwyck, Asad Aali, Amir Ronaghi, Miguel Angel Fuentes Hernandez, Tina Hernandez-Boussard, Emily Alsentzer; Proceedings of the 7th Conference on Health, Inference, and Learning, PMLR 333:354-388

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Does Where You Live Affect How You Feel? Causal Evidence from an Integrated Econometric and Machine Learning Framework

Jerry Chen, Li Wan; Proceedings of the 7th Conference on Health, Inference, and Learning, PMLR 333:389-403

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ASCENT: A Benchmark for Evaluating and Advancing Stepwise Diagnostic Reasoning in Large Language Models on Common Clinical Scenarios

Yera Choi, Yeong Hwa Kim, JaeDeok Lee, Taekang Kim, Sangdoo Yun, Seong-Eun Moon; Proceedings of the 7th Conference on Health, Inference, and Learning, PMLR 333:404-426

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ReXSonoVQA: A Video QA Benchmark for Procedure-Centric Ultrasound Understanding

Xucheng Wang, Xiaoman Zhang, Ankit Pal, Pranav Rajpurkar; Proceedings of the 7th Conference on Health, Inference, and Learning, PMLR 333:427-447

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Evaluating Robustness of LLM-Based Ambient Scribes for SOAP Note Generation

Ehsan Latif, Aleema Faisal, Shaheer Hammad, Dayyan Ali Akhtar, Agha Ali Raza, Ihsan Ayyub Qazi; Proceedings of the 7th Conference on Health, Inference, and Learning, PMLR 333:448-467

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Enhancing Extubation Failure Prediction with LLM-Derived Features from Respiratory Therapy Clinical Notes

Izzy Chaiken, Aditya Khowal, Neha A Sathe, Mark M Wurfel, Lucy Lu Wang; Proceedings of the 7th Conference on Health, Inference, and Learning, PMLR 333:468-492

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Revisiting Performance Claims for Chest X-Ray Models Using Clinical Context

Andrew Wang, Jiashou Zhang, Michael Oberst; Proceedings of the 7th Conference on Health, Inference, and Learning, PMLR 333:493-536

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Can Language Models Identify Side Effects of Breast Cancer Radiation Treatments?

Natalie Seah, Danielle S Bitterman, Daphna Spiegel, Thomas Hartvigsen; Proceedings of the 7th Conference on Health, Inference, and Learning, PMLR 333:537-551

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Toward Improving Diagnostic Reasoning for Spina Bifida Care: Benchmarking LLM–Patient Interactions

Asfandyar Azhar, Shaurjya Mandal, Zaid Khan, Nidhish Shah, Curtis Langlotz, Brad Dicianno; Proceedings of the 7th Conference on Health, Inference, and Learning, PMLR 333:552-571

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H-AdminSim: A Multi-Agent Simulator for Realistic Hospital Administrative Workflows with FHIR Integration

Jun-Min Lee, Meong Hi Son, Edward Choi; Proceedings of the 7th Conference on Health, Inference, and Learning, PMLR 333:572-613

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TEMPO: Transformers for Temporal Disease Progression from Cross-Sectional Data

Hongtao Hao, Joseph L Austerweil,  Alzheimer’s Disease Neuroimaging Initiative; Proceedings of the 7th Conference on Health, Inference, and Learning, PMLR 333:614-643

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CANDOR: Counterfactual ANnotated DOubly Robust Off-Policy Evaluation

Aishwarya Mandyam, Shengpu Tang, Jiayu Yao, Jenna Wiens, Barbara E Engelhardt; Proceedings of the 7th Conference on Health, Inference, and Learning, PMLR 333:644-687

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Proto4DME: Interpretable Cell Counting via Additive Prototype Density Decomposition and Optimal-Transport Coverage

Abdurahman Ali Mohammed, Wallapak Tavanapong; Proceedings of the 7th Conference on Health, Inference, and Learning, PMLR 333:688-702

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Mechanistically Guided LoRA Improves Paraphrase Consistency in Medical Vision-Language Models

Binesh Sadanandan, Vahid Behzadan; Proceedings of the 7th Conference on Health, Inference, and Learning, PMLR 333:703-720

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DeconDTN-Toolkit: A Library for Evaluation and Enhancement of Robustness to Provenance Shift

Yongsen Tan, Zhecheng Sheng, Xiruo Ding, Serguei V S Pakhomov, Trevor Cohen; Proceedings of the 7th Conference on Health, Inference, and Learning, PMLR 333:721-753

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SocialLM: Social Signal Processing of Patient-Provider Communication using LLMs and Contextual Aggregation

Manas Satish Bedmutha, Feng Chen, Andrea L Hartzler, Trevor Cohen, Nadir Weibel; Proceedings of the 7th Conference on Health, Inference, and Learning, PMLR 333:754-777

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Cached Summary Embeddings for Memory-Efficient EHR Inference

Rafi Al Attrach, Rajna Fani, David Restrepo, Yugang Jia, Leo Anthony Celi, Peter Schuffler; Proceedings of the 7th Conference on Health, Inference, and Learning, PMLR 333:778-793

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An Empirical Analysis of Calibration and Selective Prediction in Multimodal Clinical Condition Classification

L Julian Lechuga Lopez, Farah E Shamout, Tim G J Rudner; Proceedings of the 7th Conference on Health, Inference, and Learning, PMLR 333:794-833

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Generation of Bilingual Synthetic Clinical Notes for Realistic Data Augmentation

David Seung U Lee, Seeun Park, Seoyoon Jang, Sunyoung Lee, Chaeyoung Chang, Sungwook Choi, Howard Lee; Proceedings of the 7th Conference on Health, Inference, and Learning, PMLR 333:834-879

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Learning Under Extreme Label Imbalance in EHRs: A Dependency-Aware Loss for Multi-Label Classification

Iris Szu-Szu Ho, Lars Werne, Konrad Rawlik, Bruce Guthrie, Sohan Seth; Proceedings of the 7th Conference on Health, Inference, and Learning, PMLR 333:880-904

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ML-Powered Triage and Queue Optimization for Resource-Constrained Free Clinics

Armaan Grewal; Proceedings of the 7th Conference on Health, Inference, and Learning, PMLR 333:905-923

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Video-based Disease Progression Simulation

Xu Cao, Kaizhao Liang, Kuei-Da Liao, Tianren Gao, Zhiguang Ding, Jianguo Cao, Zheng Chen, Jintai Chen, James M Rehg, Jimeng Sun; Proceedings of the 7th Conference on Health, Inference, and Learning, PMLR 333:924-951

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Bridging the Reliability Gap: INT8 Quantization Effects on Discrimination and Calibration in Medical Imaging

Okan Bilge Ozdemir, Ruowang Li; Proceedings of the 7th Conference on Health, Inference, and Learning, PMLR 333:952-965

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Open-Ended Clinical Text Generation for Acute Care: Applying Reinforcement Learning with Clinically Grounded Rewards

Minjia Wang, Luyang Luo, Sung Eun Kim, Fang Cao, David A Kim, Pranav Rajpurkar; Proceedings of the 7th Conference on Health, Inference, and Learning, PMLR 333:966-984

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Towards the Anonymization of Masked Language Modeling

Antoine Boutet, Lucas Magnana, Juliette Senechal; Proceedings of the 7th Conference on Health, Inference, and Learning, PMLR 333:985-1002

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