SOURCE-LINKED INTELLIGENCE

LUCAID: Agentic Multimodal AI for Lung Cancer Precision Pathology

arXiv · AI, language, vision and robotics · article · Aug 24, 2026 · UTC

Lung cancer tissue diagnostics is complex, as therapy decisions in precision oncology rely on the integration of histomorphological, immunohistochemical, and molecular features. Yet pathological assessment remains largely visual and semi-quantitative and shows interobserver variability, while existing artificial intelligence (AI) tools cover only selected tasks, rarely reach generalizable expert-level performance, and lack prospective clinical validation. To address these challenges, we developed and clinically validated LUCAID, an agentic AI system for precision lung cancer pathology. An inte

Read original source ↗ Open in workspace

recordType

paper

region

Global