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Opportunistic CT screening using artificial intelligence (AI) can detect unsuspected conditions like osteoporosis and cardiovascular disease. Automated analysis of body CT scans offers personalized precision medicine and potential cost savings.

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Area of Science:

  • Radiology
  • Artificial Intelligence
  • Precision Medicine

Background:

  • Body CT scans contain valuable cardiometabolic information.
  • Manual measurements and subjective assessments hinder clinical implementation of opportunistic CT screening.
  • Emerging explainable AI algorithms offer automated solutions.

Purpose of the Study:

  • To outline current and emerging automated approaches for opportunistic CT screening.
  • To highlight the potential of AI in leveraging cardiometabolic information from CT scans.
  • To discuss the application of AI-driven CT screening in personalized medicine.

Main Methods:

  • Review of current "on the fly" CT measurement approaches.
  • Focus on emerging automated solutions using explainable AI.
  • Development of composite models combining multiple cardiometabolic CT biomarkers.

Main Results:

  • AI enables detection of unsuspected conditions (osteoporosis, cardiovascular disease, sarcopenia, hepatic steatosis).
  • Composite models can predict survival, assess biologic aging, frailty, and fracture risk.
  • Automated opportunistic screening offers value, cost savings, and personalized medicine.

Conclusions:

  • Explainable AI is poised to revolutionize opportunistic CT screening.
  • Automated analysis of CT scans can lead to early preventive interventions.
  • AI-driven opportunistic CT screening represents a new era of personalized precision medicine.