Hugging Face Trending Papers
MedCaseAgent: From Multimodal Clinical Evidence to Rare Disease Case Reports
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arXiv AI
Oct 26
MedCaseAgent: From Multimodal Clinical Evidence to Rare Disease Case Reports
MedCaseAgent is an end‑to‑end agentic reasoning system that generates publication‑quality rare disease case reports from unstructured clinical notes. It combines patient‑level data mining with iterative, tool‑integrated reasoning, dynamically querying medical literature and knowledge bases to maintain clinical fidelity and assess case novelty. The framework is modular, supports multiple backbone LLMs, and is accompanied by a new multimodal case‑report corpus (MedCase‑150K) and evaluation suite (MedCase‑Bench).
arXiv Computer Vision
Aug 25
Sparse Multi-Stage Expert-Agent Routing for Complex Clinical Reasoning
arXiv:2608.21948v1 Announce Type: new Abstract: Complex clinical reasoning requires models to update diagnostic hypotheses as new evidence emerges and to coordinate different medical specialities und...
arXiv AI
Jun 9
A Multi-modal Agentic Co-pilot for Evidence Grounded Computational Pathology
arXiv:2606. 08093v1 Announce Type: new Abstract: Pathology is the cornerstone of modern medicine, where accurate decision-making relies heavily on evidence-based practices.
arXiv AI
Aug 19
A Multimodal Agentic Pathology Co-pilot via Evidence Grounded Reasoning
PathPocket is a multimodal AI co‑pilot that grounds pathology decision‑making in evidence. It builds the largest pathology evidence corpus (≈110,472 documents) and a hypergraph of 4.55 million entities and 7.10 million relations to support traceable reasoning. The system handles text and multimodal queries, including ROI and gigapixel whole‑slide images, and outperforms current state‑of‑the‑art models on a benchmark of over 200,000 real‑world cases, improving pathologists’ diagnostic accuracy and confidence.
arXiv AI
Jun 16
MedCollab: IBIS-Guided Multi-Agent Collaboration with Hierarchical Disease Relation Chains for Clinical Diagnosis
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.
arXiv AI
Jun 16
LiteOdyssey: A Lightweight Reasoning AI Agent for Interpretable Rare-Disease Diagnosis
arXiv:2606. 16149v1 Announce Type: new Abstract: Most medical AI systems improve by scaling additional machinery: more fine-tuning data, more agents, and/or larger retrieval databases.