Clinical Reasoning

2 items

RESEARCHarXiv CS.LG·4/15/2026

Schema-Adaptive Tabular Representation Learning with LLMs for Generalizable Multimodal Clinical Reasoning

This research introduces "Schema-Adaptive Tabular Representation Learning," a novel method using Large Language Models (LLMs) to generate transferable tabular embeddings. By semantically encoding structured variables into natural language, it enables zero-shot alignment across varying EHR schemas in clinical medicine without manual feature engineering.

Clinical Reasoning LLMs tabular data healthcare AI

RESEARCHarXiv CS.AI·6d ago

ChatHealthAI: Aligning Electronic Health Record Representations with Large Language Models for Grounded Clinical Reasoning

ChatHealthAI proposes a multimodal framework to align structured electronic health record (EHR) representations with large language models (LLMs). This integration enables clinically grounded natural-language reasoning and accurate patient prediction, bridging the gap between predictive EHR models and interpretable LLM reasoning.

Clinical Reasoning multimodal AI Electronic Health Records large language models