ICML 2026PastHealthcare & biology
ICML 2026 Workshop on Structured Data for Health
SD4H ICML 2026
- Submission deadline
- May 3, 2026, 12:00 UTCOpenReview-synced 2026-05-03 12:00 UTC (as of 2026-06-23) — extensions on OpenReview are applied automatically; verify on the website.
- Submission portal
- OpenReview
- Notes
- Topics were auto-suggested and may be imprecise — edits welcome.
Accepted papers (98)
Fetched from OpenReview (v2) on 2026-06-10.
A Controlled Study of Fairness Interventions for Temporal Graph Transformers on ICU Mortality Prediction
A Fairness Audit of Medical Imaging Foundation Models on a Multimodal Structured Clinical Benchmark
A foundation model for electrodermal activity data
A supervised ontology-aware cell annotation method for single-cell transcriptomic data
Accelerometry-Derived Digital Biomarkers for Cardiometabolic Risk: A Population-Representative Tabular Benchmark with Uncertainty Quantification
Act or Defer: Error-Controlled Decision Policies for EHR Foundation Models
Active Learning as Decision Support for EHR Cohort Construction
Adapt the Data, Not the Model: Input-Space Adaptation for Frozen Time-Series Predictors
All Quiet on the Frontal Lobe: Physiological Noise \\ Augmentation for Non-Invasive Brain-to-Speech
An Agentic LLM Pipeline for Structured Adaptation of Clinical AI Literature: Construction and Validation of HOps
Augmented Equivariant Mesh Networks for Anatomical Mesh Segmentation
Autoregressive EHR Foundation Models with Multimodal Inputs
Batch Effects In Brain Foundation Model Embeddings
Beyond Accuracy: Robustness Analysis of Encoders and Fusion in Medical Visual Question Answering
Beyond Classification: A Cough Regression Benchmark for Respiratory Acoustic Foundation Models
Beyond Thresholds: Learning Perioperative Risk from Intraoperative Physiological Trajectories
Block Redundancy in Tabular Foundation Models for Clinical Applications
Brain-State-Dependent Biomarker Discovery from Multi-Condition EEG: A Structured Signal Framework for Schizophrenia with Interpretable Graph Neural Analysis
BrainDistill: Implantable ECoG-based Motor Decoding with Task-Specific Knowledge Distillation
Can Symptom Search Trends Forecast Respiratory Virus Patient Counts? A Rhinovirus Case Study in Korean Syndromic Surveillance
CareTransition-Audit: A Benchmark to Audit Discharge Summaries for Efficient Care Transitions
Clinical Reasoning Graphs: Structured Evaluation of LLM Diagnostic Reasoning Reveals Competence Without Consistency
DCDM-ECG: Demographic-Conditional Diffusion Model for 12-Lead ECG Generation
Device Passport: Enabling Spatio-Temporal Pretrained Models to Generalize Across Input Layouts
Discovering Subgroups with Exceptional Survival Characteristics
Distilling Expert-level Planning for Real-world Diabetes Prescribing
Distilling Tabular Foundation Models for Structured Health Data
Does Temporal Encoding Matter? Evidence from GRU-based Clinical Foundation Models
Empirical-Distribution Matching for Synthetic ECG Classification
End-to-End Diffusion Modeling for Clinical EEG Abnormality Detection with Spatial Filtering and Attention
Evaluating Long-Range Temporal Structure in Foundation Model-Based Forecasts of Heartbeat Dynamics
EveryQuery: Zero-Shot Clinical Prediction via Task-Conditioned Pretraining
EVL-ECG: Efficient ECG Interpretation With Multi-Aspect Heterogeneous Knowledge Distillation
Feature Space Translation Framework for Cross-Device Alignment and Derivation of Clinically Relevant Retinal Biomarkers from Foundation Model Embeddings
FHIR-Hopper: A Neuro-Symbolic Agent for Reasoning over EHRs
Formally Verified Code Synthesis for Structured Data Translation in a Medical Internet of Things
From 805 ms to 23 ms: Accelerating State-Space Models for Real-Time ICU Monitoring with Fused Triton Kernels
From Prediction to Structure: Causal Discovery for 30-Day Readmission Prediction
Improving RAG for LLM-based Mental Health Risk Detection through Contrastive Embeddings
INFER: A Multi-Agent Framework for Detecting Fraud, Waste, and Abuse in Medicare Claims
Inferring Individualized Color-Vision Distortions from fMRI Hue-Representation Geometry
Informative Irregularity as a Diagnostic for Model Robustness
Interpreting Sepsis Prediction through Positional Explanation
JI-ADF: Joint-Individual Learning with Adaptive Decision Fusion for Multimodal Skin Lesion Classification
KinEMbed: Decoding Kinematics from Electromyography via Cross-Modal Contrastive Learning
Knowledge-Informed Kernel State Reconstruction from Heterogeneous Partial Observations
LaMbDA: Diffusion-Step Alignment for Learning Robust Cross-Modal Representations in Time Series
Learning Extremely Sparse Signals in High-Dimensional Cell-Free DNA Data Using Modern Hopfield Attention for Colorectal Cancer Detection
Learning from Bilateral PPG via Cross-Site Attention and Knowledge Distillation
Linear-LLM-SCM: Benchmarking LLMs for Coefficient Elicitation in Linear-Gaussian Causal Models
Longitudinal Dense-to-Sparse Forecasting: Individual Variability Predicts Conversion Better than Mean Change
MedCase-Structured: A Text-to-FHIR Dataset for Benchmarking Diagnostic Reasoning in Clinically Realistic EHR Setting
MedDocBench: Benchmarking Vision-Language Models for Reliable Structured Extraction from Real-World Clinical Forms
Mediator-Based Reward Design in Online Contextual Bandit
MedMIX: Modality-Internal Expert Fusion for Multimodal Medical Diagnosis
MESH-HR: Multimodal Fusion of Histopathology and Structured Somatic Genomics for Continuous Breast Cancer Receptor Subtyping
Missingness-Aware Conformal Prediction Under Cross-Hospital Distribution Shift
MotionAge: A Deep Learning Framework for Biological Age Prediction from Wearable Activity
MultiAbRank: Benchmarking De Novo Antibody Design Under Multi-Objective Constraints
Multimodal PSG foundation model integrating second to full-night scale
Mutual Information-Guided Corruption for Improved Self-Supervised Representation Learning in Tabular Data
NEAR-SSB: Noisy ECG Artifact Removal via Spectral Schrodinger Bridge
NOF1-BCD - a framework for causal estimates with N-of-1 Bayesian Digital Twins
One Loss to Rule Them All: Marked Time-to-Event for Structured EHR Foundation Models
PA-CoT: Profile-Adaptive Chain-of-Thought for Personalized Nutritional Consulting
Predicting Progression from Mild Cognitive Impairment to Alzheimer’s Disease using Survival Analysis
Pretraining EHR Foundation Models with Patient-Aware Sampling
Probing Clinical Concepts in an EHR Foundation Model via Sparse Autoencoders
Reasoning Across Space: Tiny Recursive Models for Spatial Omics
Reinforcement Learning for Adaptive Tacrolimus Dosing with Multi-Drug Interaction Management
Resp-GRASP: Clinically-Grounded Reasoning for Respiratory Signal Interpretation via Guardrailed RAG with Personalized Baselines
Robust ECG Classification under Patient-Wise Evaluation: A Study of Dynamical and Deep Representations
Savitar: Pharmacology-Aware CP-Tensor Kernel Beats Domain-Specific Baselines in Drug-Combination Bayesian Optimization
Scaling ECG-Language Models: A Comparative Study of PEFT-Based Adaptation Across Backbone Architectures
Shared-Benchmark Regime Decomposition for Nonstationary Clinical Decisions
SIGMMA: Hierarchical Graph-Based Multi-Scale Multi-modal Contrastive Alignment of Histopathology Image and Spatial Transcriptome
SparseEHR: Scalable Foundation Modeling for Structured EHR via Conditional Computation
ST-JEPA: Joint-Embedding Predictive Architecture for Spatial Transcriptomics
Stabilizing PPG-based Blood Pressure Estimation through Global-to-Personalized Learning
Stage Prototypes for Transition-Aware Temporal Modeling in Single-Channel Sleep Staging
Structure Discovery in fMRI Time-Series via Dynamic Graph Representation Learning
Structured Evidence Routing for Incident Risk Prediction from Multimodal Longitudinal EHRs
Tabular Population Priors as Structured Retrieval for EHR Medication Set Prediction
Test-Time Adaptation for EEG Foundation Models: A Systematic Study under Real-World Distribution Shifts
The Semantic Bottleneck: Leveraging Semantic Representations for Non-Invasive Speech Decoding
The Verbose Context Problem in Medical Records
Think Fast, Talk Smart: Partitioning Deterministic and Neural Computation for Structured Health Text Generation
Time is continuous, why chunk it? Token-Free State-Space Models for ECG
Towards Error-Free EHRs: Reasoning-Intensive Consistency Verification Between Clinical Notes and Structured Tables in Electronic Health Records
Transcriptomics-Conditioned Virtual Tissue Synthesis via Diffusion Transformers
Transferable Lesion-Supervised Speech Representations for Post-Stroke Modelling
Uncovering the Latent Relationships in Food Inspection Records via Unsupervised Clustering
Understanding Structured Health Data through Interaction-Aware Mixture-of-Experts
Unearth-AI: Human-in-the-Loop Cohort Extraction from Natural Language for Health AI
ViTaL-Diff: Video-Token Latent Diffusion for Contactless Respiratory Monitoring
Wearable Missingness as a Behavioral Signal: Detecting Wear Pattern Anomalies Around Cardiovascular Visits
When Cases Get Rare: A Retrieval Benchmark for Off-Guideline Clinical Question Answering
WIPSNet: Deep Learning for Paediatric Wheeze Detection from Impedance Pneumography