Signals 4 · free daily AI digest

Aligning Multimodal Patient Evidence with Biomedical Knowledge Graphs for Clinical LLMs

Paper recorded by Signals 4 on 2026-10-05 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-05 on arXiv · recorded by Signals 4 on 2026-10-06

Category: cs.CL · 自然语言处理 · first seen 2026-10-06

Abstract

Clinical questions often depend on linking a patient's multimodal evidence to external biomedical knowledge, yet existing predictive systems rarely represent such links explicitly, so they can neither be traced to their evidence sources nor removed to measure their contributions. We present MM-KG (Multimodal Knowledge Graph), which represents heterogeneous, multimodal patient observations and biom

Read on arXiv →

#329 most recent of 660 cs.CL papers we have recorded · ↑ newer: Programmatic Search Agents: Extending Agentic Search Beyond Query Refo · ↓ older: How Sparse Probability Maps Shape Mixture-of-Experts Routing
Cite this page: Aligning Multimodal Patient Evidence with Biomedical Knowledge Graphs for Clinical LLMs: the #329 most recent of 660 cs.CL papers we have recorded (as of 2026-10-05). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/aligning-multimodal-patient-evidence-with-biomedical-knowledge-graphs-for-clinic.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
Related: More cs.CL papers · arXiv signals · All papers · Today in AI
Get 4 AI signals a day by email — free.
Subscribe free → See all plans →
Get 4 AI signals a day by email — free
All models · All repos · By company · Daily editions