Healthcare + Rag + Llm

24.0

Create an evaluation harness specifically for medical reasoning capabilities in OSS models. This fills the gap left by general-purpose benchmarks that aren't context-aware.

emergingimplementation gap

nlpllmreasoninghealthcarerag

Signals (9)

arXiv3d ago

EMSDialog: Synthetic Multi-person Emergency Medical Service Dialogue Generation from Electronic Patient Care Reports via Multi-LLM Agents

arXiv10h ago

MO-RiskVAE: A Multi-Omics Variational Autoencoder for Survival Risk Modeling in Multiple MyelomaMO-RiskVAE

arXiv4d ago

Depression Detection at the Point of Care: Automated Analysis of Linguistic Signals from Routine Primary Care Encounters

arXiv3d ago

SymptomWise: A Deterministic Reasoning Layer for Reliable and Efficient AI Systems

arXiv10h ago

SynDocDis: A Metadata-Driven Framework for Generating Synthetic Physician Discussions Using Large Language Models

arXiv3d ago

Healthcare + Rag + Llm

Signals (9)

EMSDialog: Synthetic Multi-person Emergency Medical Service Dialogue Generation from Electronic Patient Care Reports via Multi-LLM Agents

Medical Reasoning with Large Language Models: A Survey and MR-Bench

Researchers used AI to analyze 400k Reddit posts, revealing GLP-1 side effects

Detecting HIV-Related Stigma in Clinical Narratives Using Large Language Models

MO-RiskVAE: A Multi-Omics Variational Autoencoder for Survival Risk Modeling in Multiple MyelomaMO-RiskVAE

Depression Detection at the Point of Care: Automated Analysis of Linguistic Signals from Routine Primary Care Encounters

SymptomWise: A Deterministic Reasoning Layer for Reliable and Efficient AI Systems

SynDocDis: A Metadata-Driven Framework for Generating Synthetic Physician Discussions Using Large Language Models

Efficient and Effective Internal Memory Retrieval for LLM-Based Healthcare Prediction