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arXivClinical NLP & EHR

GLoC-EHR: Evidence-Cited Clinical Reasoning over Global Context and Local EHR Events

GLoC-EHR uses global and local EHR memories for evidence-cited clinical reasoning, achieving top MIMIC-IV macro AUROC while reducing unsupported citations.

Chaiho Shin, Kwangsoo Kim

Published Oct 1, 2026 · 0 citations

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medium 5/10
strict 1/5
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NeurIPS 2026U North Carolina at Chapel HillThe University of North CarolinaU Michigan - Ann ArborClinical NLP & EHR

Distribution-First Framework for Learning Risk-Sensitive Individualized Treatment Rules

Zhen Fang, Guanting Chen, Yufeng Liu

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026TongjiU Electronic Science and TechnolHarbin Institute of TechnologyShenzhen Research Institute of BClinical NLP & EHR

ProCARE: Real-World Study Automation via Profile-Grounded Evidence Contracts

Zhaoyu Fan, Bowen Han, Yanwei Ren, Jincheng Ou and 7 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026U SydneyU Sydney, University of SydneyShandong Medical and PharmaceutiU GlasgowThe University of AdelaideClinical NLP & EHR

MedHEB: Benchmarking Medical Embeddings Across Heterogeneous Clinical Evidence

Yingshu Li, Shaoyang Zhou, Zhanyu Wang, YUNYI LIU and 5 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026OhioU Wisconsin - MadisonMcGillMcGillNorthwesternClinical NLP & EHR

SMI: Semantic Medical ID for Hierarchy-Aware Concept Representation

Ziyang Song, Lia Shen, Yixuan Li, Qincheng Lu and 5 more

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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NeurIPS 2026U IowaClinical NLP & EHR

DiffRisk: Diffusion Representation Learning with Informative Missingness for Health Risk Prediction

Shailesh Dahal, Ratri Mukherjee, Nicholas Mathews, Kishlay Jha

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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medium 0/10
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67%Highly rated
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NeurIPS 2026Inria Paris, FranceINRIAClinical NLP & EHR

HyperNSDE: Personalized Neural SDEs for Joint Static—Longitudinal Clinical Data Generation

Perrine Chassat, Agathe Guilloux

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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lenient 2/5
medium 0/10
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45%Niche pick
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NeurIPS 2026U MichiganMedical College of WisconsinU Michigan - Ann ArborClinical NLP & EHR

NNCoxKL: Risk-Set Distillation from Probability-Free Prognostic Teachers for Deep Cox Models

Lingfeng Luo, Jeremy M Taylor, Di Wang, Feiyang Deng and 2 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Indian Institute of Technology GClinical NLP & EHR

CCTimeBoost: Learning Time-Varying Relative Risk with Case-Control Boosted Trees

Rahul Goswami

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Indian Institute of Technology DIndian Institute of Technology, IBM ResearchIIT DelhiClinical NLP & EHR

ProbMedTOD: A Bayesian Network Guided Task-Oriented Dialogue System for Patient History Taking

Vishal Vivek Saley, Bhavesh Gurnani, Dinesh Raghu, Mausam

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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57%Worth a look
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NeurIPS 2026Harvard University, HarvardHarvardSeoul NationalPathology, Brigham and Women&#x2Brigham and Women's HospitaClinical NLP & EHR

Discrete Neural Interlingua for Ontology-Agnostic EHR Modeling

Tong Ding, Caiwei Tian, Dongmin Bang, Ming Yang Lu and 5 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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lenient 1/5
medium 0/10
strict 0/5
67%Highly rated
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NeurIPS 2026King's College London, UnivKing's College LondonUniversity College London, UniveClinical NLP & EHR

PULSE: Probabilistic Uncertainty-Aware Longitudinal Simulation for EHR Trajectories

Robert L Manschke, Angus Roberts, Julia Ive

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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lenient 2/5
medium 0/10
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83%Must read
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NeurIPS 2026KAISTKorea Advanced Institute of ScieGhentKorea Advanced Institute of ScieSamsung Medical CenterClinical NLP & EHR

Towards Error-Free EHRs: Reasoning-Intensive Consistency Verification Between Clinical Notes and Structured Tables in Electronic Health Records

EHR-ReasonCon introduces a reasoning-intensive benchmark for clinical note-table consistency verification, and EHR-Inspector achieves state-of-the-art results via LLM-based verification with table exploration.

Yeonsu Kwon, Jiho Kim, Junseong Choi, Paloma Rabaey and 9 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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lenient 5/5
medium 7/10
strict 1/5
70%Highly rated
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NeurIPS 2026Tokio Marine Holdings, Inc.The Institute of Statistical MatClinical NLP & EHR

Learning Survival Models with Right-Censored Reporting Delays

Joint parametric modeling of event and reporting hazards with right-censored delays yields consistent estimators via Monte Carlo EM and improves timely risk evaluation under administrative censoring via transfer learning.

Yuta Shikuri, Hironori Fujisawa

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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lenient 4/5
medium 0/10
strict 1/5
76%Highly rated
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NeurIPS 2026BrownCarnegie MellonNorth Carolina StateClinical NLP & EHR

History-Aware Conformal Prediction Sets for Censored Time-to-Event Outcomes

History-Aware Prediction Sets (HAPS) construct conformal prediction sets for censored time-to-event outcomes using time-varying covariate histories, reducing interval lengths up to 75% while maintaining coverage among survivors.

Yuyao Wang, Alexander W Levis, Shu Yang, Larry Han

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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lenient 2/5
medium 6/10
strict 2/5
83%Must read
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NeurIPS 2026ColumbiaU California, Los AngelesClinical NLP & EHR

One Loss to Rule Them All: Marked Time-to-Event for Structured EHR Foundation Models

ORA proposes a marked time-to-event pretraining objective that jointly models clinical event timing and measurements to surpass next-token prediction for structured EHR foundation models.

Zilin Jing, Vincent Jeanselme, Yuta Kobayashi, Simon Lee and 5 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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lenient 5/5
medium 7/10
strict 1/5
76%Highly rated
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NeurIPS 2026U Southern CaliforniaNEC Labs AmericaClinical NLP & EHR

Causal Survival Forests with Negative Controls

NC-CSF integrates negative controls with causal survival forests to estimate heterogeneous treatment effects in survival studies with unmeasured confounding, reducing bias and error versus baselines.

Zijun Gao, Kyoungeui Hong, Leyi Ma, Qianli Wu and 2 more

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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lenient 4/5
medium 5/10
strict 1/5
83%Must read
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NeurIPS 2026Korea Advanced Institute of ScieUTHealth HoustonSamsung Medical Center, Sung KyuKorea Advanced Institute of ScieKorea Advanced Institute of ScieClinical NLP & EHR

EHRNote-ChatQA: A Benchmark for Evidence-Grounded Multi-Turn Clinical Question Answering over Longitudinal Discharge Summaries

EHRNote-ChatQA introduces multi-turn clinical QA over longitudinal discharge summaries, showing LLMs struggle with evidence grounding and multi-turn error accumulation.

Jiyoun Kim, Muhan Yeo, Eunhye Jang, Jeewon Yang and 13 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 2/5
86%Must read
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NeurIPS 2026U ZürichU ZurichETHZ - ETH ZurichETH ZurichUniversitätsspital ZürichClinical NLP & EHR

Joint Treatment Effect Estimation from Incomplete Healthcare Data: Temporal Causal Normalizing Flows with LLM-driven Evolutionary MNAR Imputation

<|message_model|><|content_text|>A two-stage pipeline combines exact invertible counterfactual inference via DAG-constrained temporal normalizing flows with LLM-driven evolutionary MNAR imputation to estimate treatment effects from incomplete longitudinal EHRs. On synthetic benchmarks and Swiss diab

Olivia Jullian Parra, Sara Zoccheddu, David C Cerezo, Tom Forzy and 6 more

Paris Poster Session 6, Fri, Dec 11, 2:30 PM–4:30 PM, Paris Poster Hall · Published 2026

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AI panel: 14 of 20 reviewers recommend it
lenient 4/5
medium 8/10
strict 2/5
86%Must read
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NeurIPS 2026Vanderbilt University Medical CeClinical NLP & EHR

B-CALM: Bias-Limited Bayesian Borrowing for RCT-Anchored Treatment Effects under Covariate Mismatch

B-CALM borrows observational data via latent-state alignment and comparative-bias priors to estimate RCT-anchored treatment effects with bounded bias and near-nominal coverage.

Amir Asiaee, Samhita Pal

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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AI panel: 14 of 20 reviewers recommend it
lenient 3/5
medium 8/10
strict 3/5