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Artificial Intelligence 2025-04-01

Autonomous AI for Multi-Pathology Detection in Chest X-Rays

A multi-site study evaluating autonomous AI systems for detecting multiple pathologies in chest X-rays across the Indian healthcare system, demonstrating scalable diagnostic accuracy in resource-constrained environments.

5C Network Research Team · arXiv · DOI: 10.48550/arXiv.2504.00022

Key Findings

  • Multi-site validation across diverse Indian clinical settings demonstrates consistent AI diagnostic performance
  • Autonomous detection of multiple chest X-ray pathologies reduces radiologist workload in high-volume centers
  • System achieves clinically acceptable sensitivity and specificity across common thoracic findings
  • Addresses the critical shortage of radiologists in India's tier-2 and tier-3 healthcare facilities
Read Full Paper on arXiv

Related Research

From the lab to the worklist

This research runs in production.

The methods described here are part of Bionic, the AI layer that pre-reads every study 5C reports — 15,000+ scans a day across 2,000+ facilities, each one signed by an NMC-registered radiologist.