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Artificial Intelligence in Chest Radiology: Advancements and Applications for Improved Global Health Outcomes

  • Mohammad Jalloul,
  • Dana Alkhulaifat,
  • Monica Miranda-Schaeubinger,
  • Laura De Leon Benedetti,
  • Hansel J. Otero,
  • Farouk Dako

摘要

Purpose of Review

In this review, we explored the most recent innovations in artificial intelligence and their applications in chest radiology to promote population health.

Recent Findings

AI algorithms have revolutionized imaging modalities essential for the diagnosis and management of thoracic pathologies such as pneumonia, lung cancer, interstitial lung disease, and cardiovascular disease. AI implementation in low- and middle-income countries has the potential to significantly improve chest radiology services but restricted access to adequate resources and infrastructure must be addressed to ensure globalization of AI in underserved areas.

Summary

The advancement of AI models enhanced the field of chest radiology and improved performance of health systems. Efforts to expand AI accessibility globally will further improve health care.