pathology

An autopsy study found replicating SARS-CoV-2 in the hearts of Long COVID patients, associated with cardiac symptoms and gene expression changes, suggesting viral persistence drives Long COVID cardiac pathology.

This paper introduces the Nimblemind Multi-Agent System (nMAS) for extracting evidence of H. pylori infection from gastric biopsy reports, achieving 98.61% accuracy across 216 feature-case decisions and demonstrating substantial time savings over manual review.

Introduces a distribution-based multiple instance learning framework using zero-inflated beta modeling to improve tumor proportion score prediction in non-small cell lung cancer from histopathology slides.

PathPocket is a multimodal AI agentic co-pilot for evidence-grounded pathology, utilizing a comprehensive evidence corpus and hypergraph to outperform existing state-of-the-art methods on over 200,000 real-world cases.

PathoSage introduces a three-stage framework for pathology multimodal reasoning that separates knowledge retrieval, evidence collection, and evidence adjudication to reduce hallucinations and handle conflicting evidence, featuring a training-free Beta-Bernoulli experience system for modeling tool reliability.

A medical professional shares their positive experience using ChatGPT to assist in diagnostic pathology, demonstrating the AI's ability to provide accurate and detailed analysis comparable to a dermatopathologist.