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Higher BMI May Reduce AI and Human Accuracy on CT Scans

Radiology BusinessIndustry
Higher BMI May Reduce AI and Human Accuracy on CT Scans

New research finds increased patient BMI can negatively impact AI performance on low-dose CT scans.

Key Details

  • 1Study published in the European Journal of Radiology examines BMI impact on chest LDCTs.
  • 2Higher BMI causes increased X-ray attenuation and image noise, degrading image quality.
  • 3Researchers compared AI and human lung nodule detection in cohorts with highest and lowest BMI (top and bottom 1.5%).
  • 4AI's diagnostic accuracy is limited by the diversity of its training datasets, particularly in BMI distribution.
  • 5Prior literature shows conflicting findings about BMI influence on human performance; data on AI's vulnerability to BMI-related artifacts is growing.

Why It Matters

This study highlights a potential bias and limitation of current imaging AI tools, especially those trained on less diverse patients. Understanding performance differences across BMI ranges is essential for ensuring equitable and accurate lung cancer screening in clinical settings.
Radiology Business

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