arXiv:2607. 06435v1 Announce Type: new Abstract: Data from Singapore indicated that about 31% of the population had evidence of Helicobacter pylori infection.
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arXiv:2608.28974v1 Announce Type: new Abstract: Clinically relevant oncology information is distributed across heterogeneous, longitudinal documentation, creating substantial abstraction burden and r...
The paper introduces VERGE, a verification-enhanced refinement workflow that extracts six red‑flag symptoms and family‑history risk status for early‑onset colorectal cancer from free‑text clinical notes. VERGE uses retrieval‑augmented generation followed by a bounded verification‑refinement cycle that checks textual grounding and clinical validity, correcting claims until resolved or escalating to human review. In evaluation on 4,033 clinician‑labeled note‑finding pairs, VERGE improved precision from 0.764 to 0.849 and MCC from 0.681 to 0.730 compared to a single‑agent baseline, while requiring human review for only 1.5 % of claims.
arXiv:2607. 12886v1 Announce Type: new Abstract: Clinical notes contain many of the signs and symptoms that bring patients to care, yet this information rarely reaches structured fields.
The paper introduces ClinGeX, a large‑language‑model agent that uses 105 curated executable skills to automate clinical genomic analysis. In benchmark tests, ClinGeX achieved 71.7% macro‑averaged task‑level concordance, outperforming the best comparator at 45.7%. Human‑AI collaboration studies showed ClinGeX significantly improved case‑level concordance across variant analysis, rare disease interpretation, and oncology decision‑making, while also reducing interpretation time.
arXiv:2603. 01131v3 Announce Type: replace-cross Abstract: Clinical diagnosis is a gradual process of evidence integration, in which physicians move from symptoms and medical history to examinations, competing hypotheses, disease relations, and treatment decisions.
LUCAID is an agentic multimodal AI system designed for precision lung cancer pathology, integrating nine modules that cover the entire routine workflow—from quality control and tumor detection to histological subtyping, microenvironment profiling, cellularity quantification, and biomarker scoring (PD‑L1, MET, TROP‑2). The system generates automated structured reports and allows interactive querying of module outputs. In prospective clinical validation, LUCAID achieved 93.0% concordance with an expert‑panel reference standard for clinically actionable decisions, outperforming five experienced thoracic pathologists who ranged from 68.3% to 81.1% concordance.