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