The role of artificial intelligence in the diagnosis, imaging, and treatment of thoracic empyema.

Journal: Current opinion in pulmonary medicine
PMID: 39711496

Abstract

PURPOSE OF REVIEW: The management of thoracic empyema is often complicated by diagnostic delays, recurrence, treatment failures and infections with antibiotic resistant bacteria. The emergence of artificial intelligence (AI) in healthcare, particularly in clinical decision support, imaging, and diagnostic microbiology raises great expectations in addressing these challenges.

Authors

  • Adam Zumla
    Royal Bolton Hospital, Bolton NHS Foundation Trust, and University of Bolton School of Medicine, Bolton, Greater Manchester.
  • Rizwan Ahmed
    College of Computer Science and Information Systems, Institute of Business Management (IoBM), Korangi Creek, Karachi, Pakistan.
  • Kunal Bakhri
    Thoracics Department, University College London Hospitals Foundation NHS Trust Westmoreland Street Hospital, London, UK.

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