CHIL 2025

42 papers

A Case Study Exploring the Current Landscape of Synthetic Medical Record Generation with Commercial LLMs Yihan Lin, Zhirong Yu, Simon A. Lee

A Study of Artifacts on Melanoma Classification Under Diffusion-Based Perturbations Qixuan Jin, Marzyeh Ghassemi

ALPEC: A Comprehensive Evaluation Framework and Dataset for Machine Learning-Based Arousal Detection in Clinical Practice Stefan Kraft, Andreas Theissler, Dr. Vera Wienhausen-Wilke, Philipp Walter, Gjergji Kasneci, Hendrik Lensch

Benchmarking ECG Delineation Using Deep Neural Network-Based Semantic Segmentation Models Jaeho Park, TaeJun Park, Joon-myoung Kwon, Yong-Yeon Jo

Benchmarking Missing Data Imputation Methods for Time Series Using Real-World Test Cases Adedolapo Aishat Toye, Asuman Celik, Samantha Kleinberg

Beyond Prompting: Time2Lang - Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Arvind Pillai, Dimitris Spathis, Subigya Nepal, Amanda C. Collins, Daniel M Mackin, Michael V. Heinz, Tess Z Griffin, Nicholas C. Jacobson, Andrew Campbell

Bridging the Utility Gap Between MALDI-TOF and WGS for Affordable Outbreak Cluster Detection Chang Liu, Jieshi Chen, Lee H Harrison, Artur Dubrawski

CaReAQA: A Cardiac and Respiratory Audio Question Answering Model for Open-Ended Diagnostic Reasoning Tsai-Ning Wang, Lin-Lin Chen, Neil Zeghidour, Aaqib Saeed

CaseReportBench: An LLM Benchmark Dataset for Dense Information Extraction in Clinical Case Reports Xiao Yu Cindy Zhang, Carlos R. Ferreira, Francis Rossignol, Raymond T. Ng, Wyeth Wasserman, Jian Zhu

Caught in the Web of Words: Do LLMs Fall for Spin in Medical Literature? Hye Sun Yun, Karen Y.C. Zhang, Ramez Kouzy, Iain James Marshall, Junyi Jessy Li, Byron C Wallace

Causal Considerations Can Deterimine the Utility of Machine Learning Assisted GWAS Sumit Mukherjee, Zachary R Mccaw, David Amar, Rounak Dey, Thomas W Soare, Hari Somineni, Nicholas Eriksson, Colm O’Dushlaine

Conditional Front-Door Adjustment for Heterogeneous Treatment Assignment Effect Estimation Under Non-Compliance Winston Chen, Trenton Chang, Jenna Wiens

Contrastive Pretraining for Stress Detection with Multimodal Wearable Sensor Data and Surveys Zeyu Yang, Han Yu, Akane Sano

Distributionally Robust Learning in Survival Analysis Yeping Jin, Lauren Wise, Ioannis Paschalidis

Electrocardiogram–Language Model for Few-Shot Question Answering with Meta Learning Jialu Tang, Tong Xia, Yuan Lu, Cecilia Mascolo, Aaqib Saeed

ExOSITO: Explainable Off-Policy Learning with Side Information for Intensive Care Unit Blood Test Orders Zongliang Ji, Andre Carlos Kajdacsy-Balla Amaral, Anna Goldenberg, Rahul G Krishnan

Feasibility of Immersive Virtual Reality and Customized Robotics with Wearable Sensors for Upper Extremity Training Behdokht Kiafar, Pinar Kullu, Rakshith Lokesh, Amit Chaudhari, Qile Wang, Shayla Sharmin, Sagar M. Doshi, Elham Bakhshipour, Erik Thostenson, Joshua Cashaback, Roghayeh Leila Barmaki

Global Deep Forecasting with Patient-Specific Pharmacokinetics Willa Potosnak, Cristian Ignacio Challu, Kin G. Olivares, Keith A Dufendach, Artur Dubrawski

HeadCT-ONE: Enabling Granular and Controllable Automated Evaluation of Head CT Radiology Report Generation Julian Nicolas Acosta, Xiaoman Zhang, Siddhant Dogra, Hong-Yu Zhou, Seyedmehdi Payabvash, Guido J. Falcone, Eric Karl Oermann, Pranav Rajpurkar

How Does My Language Model Understand Clinical Text? Furong Jia, David Sontag, Monica Agrawal

Investigating Primary Care Indications to Improve the Quality of Electronic Health Record Data in Target Trial Emulation for Dementia Max I Sunog, Colin Magdamo, Marie-Laure Charpignon, Mark W. Albers

KEEP: Integrating Medical Ontologies with Clinical Data for Robust Code Embeddings Ahmed Elhussein, Paul Meddeb, Abigail Newbury, Jeanne Mirone, Martin Stoll, Gamze Gursoy

LabTOP: A Unified Model for Lab Test Outcome Prediction on Electronic Health Records Sujeong Im, Jungwoo Oh, Edward Choi

Learning Disease Progression Models That Capture Health Disparities Erica Chiang, Divya M Shanmugam, Ashley Beecy, Gabriel Sayer, Deborah Estrin, Nikhil Garg, Emma Pierson

Learning Interactions Between Continuous Treatments and Covariates with a Semiparametric Model Muyan Jiang, Yunkai Zhang, Anil Aswani

MedMod: Multimodal Benchmark for Medical Prediction Tasks with Electronic Health Records and Chest X-Ray Scans Shaza Elsharief, Saeed Shurrab, Baraa Al Jorf, Leopoldo Julian Lechuga Lopez, Krzysztof J. Geras, Farah E. Shamout

Multi-Objective Fine-Tuning of Clinical Scoring Tables: Adapting to Variations in Demography and Data Kei Sen Fong, Mehul Motani

Multi-View Contrastive Learning for Robust Domain Adaptation in Medical Time Series Analysis YongKyung Oh, Alex Bui

Multiaccuracy for Subpopulation Calibration over Distribution Shift in Medical Prediction Models Daniel Kapash, Noam Barda, Omer Reingold, Noa Dagan, Ran Balicer

Predicting Health States of Patients with Chronic Pain from Cellphone Usage Data Maya Stemmer, Lior Ungar, Talia Friedman, Lihi Bik, Yotam Hadari, Itamar Efrati, Yarden Rachamim, Lior Carmi, Shai Fine

Predicting Partially Observed Long-Term Outcomes with Adversarial Positive-Unlabeled Domain Adaptation Mengying Yan, Meng Xia, Wei Angel Huang, Chuan Hong, Benjamin Goldstein, Matthew M. Engelhard

Self-Explaining Hypergraph Neural Networks for Diagnosis Prediction Leisheng Yu, Yanxiao Cai, Minxing Zhang, Xia Hu

Test-Time Calibration: A Framework for Personalized Test-Time Adaptation in Real-World Biosignals Yong-Yeon Jo, Byeong Tak Lee, Jeong-Ho Hong, Hak Seung Lee, Joon-myoung Kwon, Beom Joon Kim

The Impact of Medication Non-Adherence on Adverse Outcomes: Evidence from Schizophrenia Patients via Survival Analysis Shahriar Noroozizadeh, Pim Welle, Jeremy Weiss, George H. Chen

The Latentverse: An Open-Source Benchmarking Toolkit for Evaluating Latent Representations Yoanna Turura, Sam Freesun Friedman, Aurora Cremer, Mahnaz Maddah, Sana Tonekaboni

Towards Predicting Temporal Changes in a Patient’s Chest X-Ray Images Based on Electronic Health Records Daeun Kyung, Junu Kim, Tackeun Kim, Edward Choi

Transformer Model for Alzheimer’s Disease Progression Prediction Using Longitudinal Visit Sequences Mahdi Moghaddami, Clayton Schubring, Mohammad Siadat

Treatment Non-Adherence Bias in Clinical Machine Learning: A Real-World Study on Hypertension Medication Zhongyuan Liang, Arvind Suresh, Irene Y. Chen

Uncertainty Quantification for Machine Learning in Healthcare: A Survey Leopoldo Julian Lechuga Lopez, Shaza Elsharief, Dhiyaa Al Jorf, Firas Darwish, Congbo Ma, Farah E. Shamout

Uncovering Knowledge Gaps in Radiology Report Generation Models Through Knowledge Graphs Xiaoman Zhang, Julian Nicolas Acosta, Hong-Yu Zhou, Pranav Rajpurkar

WatchSleepNet: A Novel Model and Pretraining Approach for Advancing Sleep Staging with Smartwatches Will Ke Wang, Bill Chen, Jiamu Yang, Hayoung Jeong, Leeor Hershkovich, Shekh Md Mahmudul Islam, Mengde Liu, Ali R Roghanizad, Md Mobashir Hasan Shandhi, Andrew R Spector, Jessilyn Dunn

When Attention Fails: Pitfalls of Attention-Based Model Interpretability for High-Dimensional Clinical Time-Series Shashank Yadav, Vignesh Subbian