NIH Chest X-ray Dataset Analysis

Medical Image Analysis using AI

A comprehensive analysis of the NIH chest X-ray dataset using advanced machine learning techniques to identify patterns and insights for improving diagnostic capabilities.

Interactive Analysis

Key Findings

Dataset Overview

  • 112,120 X-ray images from 30,805 unique patients
  • 14 disease labels identified by NLP
  • Comprehensive demographic information
  • High-quality medical imaging data

Analysis Highlights

  • Distribution of pathological conditions
  • Demographic patterns and correlations
  • Multi-label classification challenges
  • Data quality assessment

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