Learning Disease Progression Models That Capture Health Disparities
Erica Chiang, Divya M Shanmugam, Ashley Beecy, Gabriel Sayer, Deborah Estrin, Nikhil Garg, and Emma Pierson.
Global Deep Forecasting with Patient-Specific Pharmacokinetics
Willa Potosnak, Cristian Ignacio Challu, Kin G. Olivares, Keith A Dufendach, and Artur Dubrawski.
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, and Byron C Wallace.
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, and Shai Fine.
Towards Predicting Temporal Changes in a Patient’s Chest X-ray Images based on Electronic Health Records
Daeun Kyung, Junu Kim, Tackeun Kim, and Edward Choi.
Bridging the Utility Gap between MALDI-TOF and WGS for Affordable Outbreak Cluster Detection
Chang Liu, Jieshi Chen, Lee H Harrison, and Artur Dubrawski.
Conditional Front-door Adjustment for Heterogeneous Treatment Assignment Effect Estimation Under Non-compliance
Winston Chen, Trenton Chang, and Jenna Wiens.
When Attention Fails: Pitfalls of Attention-based Model Interpretability for High-dimensional Clinical Time-Series
Shashank Yadav and Vignesh Subbian.
Uncovering Knowledge Gaps in Radiology Report Generation Models through Knowledge Graphs
Xiaoman Zhang, Julian Nicolas Acosta, Hong-Yu Zhou, and Pranav Rajpurkar.
CaReAQA: A Cardiac and Respiratory Audio Question Answering Model for Open-Ended Diagnostic Reasoning
Tsai-Ning Wang, Lin-Lin Chen, Neil Zeghidour, and Aaqib Saeed
Multiaccuracy for Subpopulation Calibration Over Distribution Shift in Medical Prediction Models
Daniel Kapash, Noam Barda, Omer Reingold, Noa Dagan, and Ran Balicer.
Benchmarking ECG Delineation using Deep Neural Network-based Semantic Segmentation Models
Jaeho Park, TaeJun Park, Joon-myoung Kwon, and Yong-Yeon Jo.
ExOSITO: Explainable Off-Policy Learning with Side Information for Intensive Care Unit Blood Test Orders
Zongliang Ji, Andre Carlos Kajdacsy-Balla Amaral, Anna Goldenberg, and Rahul G Krishnan.
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, and Jian Zhu.
KEEP: Integrating Medical Ontologies with Clinical Data for Robust Code Embeddings
Ahmed Elhussein, Paul Meddeb, Abigail Newbury, Jeanne Mirone, Martin Stoll, and Gamze Gursoy.
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, and Beom Joon Kim
Treatment Non-Adherence Bias in Clinical Machine Learning: A Real-World Study on Hypertension Medication
Zhongyuan Liang, Arvind Suresh, and Irene Y. Chen.
Benchmarking Missing Data Imputation Methods for Time Series Using Real-World Test Cases
Adedolapo Aishat Toye, Asuman Celik, and Samantha Kleinberg.
Electrocardiogram–Language Model for Few-Shot Question Answering with Meta Learning
Jialu Tang, Tong Xia, Yuan Lu, Cecilia Mascolo, and Aaqib Saeed.
Learning Interactions Between Continuous Treatments and Covariates with a Semiparametric Model
Muyan Jiang, Yunkai Zhang, and Anil Aswani.
A Case Study Exploring the Current Landscape of Synthetic Medical Record Generation with Commercial LLMs
Yihan Lin, Zhirong Yu, and Simon A. Lee.
Multi-View Contrastive Learning for Robust Domain Adaptation in Medical Time Series Analysis
YongKyung Oh and Alex Bui
Multi-Objective Fine-Tuning of Clinical Scoring Tables: Adapting to Variations in Demography and Data
Kei Sen Fong and Mehul Motani.
Contrastive Pretraining for Stress Detection with Multimodal Wearable Sensor Data and Surveys
Zeyu Yang, Han Yu, and Akane Sano.
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, and Pranav Rajpurkar.
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, and Colm O’Dushlaine.
The Latentverse: An Open-Source Benchmarking Toolkit for Evaluating Latent Representations
Yoanna Turura, Sam Freesun Friedman, Aurora Cremer, Mahnaz Maddah, and Sana Tonekaboni.
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, and Farah E. Shamout.
The Impact of Medication Non-adherence on Adverse Outcomes: Evidence from Schizophrenia Patients via Survival Analysis
Shahriar Noroozizadeh, Pim Welle, Jeremy Weiss, and George H. Chen.
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, and Mark W. Albers.
Transformer Model for Alzheimer’s Disease Progression Prediction Using Longitudinal Visit Sequences
Mahdi Moghaddami, Clayton Schubring, and Mohammad Siadat.
Uncertainty Quantification for Machine Learning in Healthcare: A Survey
Leopoldo Julian Lechuga Lopez, Shaza Elsharief, Dhiyaa Al Jorf, Firas Darwish, Congbo Ma, and Farah E. Shamout.
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, and Andrew Campbell.
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, and Roghayeh Leila Barmaki.
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, and Jessilyn Dunn.
ALPEC: A Comprehensive Evaluation Framework and Dataset for Machine Learning-Based Arousal Detection in Clinical Practice
Stefan Kraft, Andreas Theissler, Vera
Wienhausen-Wilke, Philipp Walter, Gjergji
Kasneci, and Hendrik Lensch.
A Study of Artifacts on Melanoma Classification under Diffusion-Based Perturbations
Qixuan Jin
Self-Explaining Hypergraph Neural Networks for Diagnosis Prediction
Leisheng Yu, Yanxiao Cai, Minxing Zhang, and Xia Hu.
How does my language model understand clinical text?
Furong Jia, David Sontag, and Monica Agrawal.
Distributionally Robust Learning in Survival Analysis
Yeping Jin, Lauren Wise, and Ioannis Paschalidis.
Predicting Partially Observed Long-Term Outcomes with Adversarial Positive-Unlabeled Domain Adaptation
Mengying Yan, Meng Xia, Wei Angel Huang, Chuan Hong, Benjamin Goldstein, and Matthew M. Engelhard.
LabTOP: A Unified Model for Lab Test Outcome Prediction on Electronic Health Records
Sujeong Im, Jungwoo Oh, and Edward Choi.
