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Artificial Intelligence in Interventional Pulmonology.

David Brower1, Sohawm Sengupta1, Arjun N Bhatt1

  • 1Medical College of Georgia School of Medicine, Augusta, GA, USA.

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|July 16, 2025
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Summary
This summary is machine-generated.

Artificial intelligence (AI) enhances interventional pulmonology (IP) by improving diagnostic and therapeutic techniques. This review explores AI's current use, ethical implications, and future potential in managing pulmonary diseases.

Keywords:
Artificial intelligencebronchoscopyinterventional pulmonology

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Area of Science:

  • Medicine
  • Pulmonology
  • Artificial Intelligence

Background:

  • Artificial intelligence (AI) is transforming medical practices.
  • Interventional pulmonology (IP) offers numerous applications for AI integration.
  • AI can streamline the diagnosis and management of pulmonary conditions.

Purpose of the Study:

  • To review the recent applications of AI in interventional pulmonology.
  • To discuss the foundational principles of AI in medicine.
  • To explore ethical considerations and future prospects of AI in IP.

Main Methods:

  • Literature review of AI applications in interventional pulmonology.
  • Analysis of AI's role in diagnostic procedures like bronchoscopy and ultrasound.
  • Examination of AI in pathological specimen evaluation.

Main Results:

  • AI is currently used in navigational/virtual bronchoscopy, endobronchial ultrasound, and rapid onsite pathological evaluation.
  • AI integration promises more accessible and effective pulmonary disease management.
  • The review highlights AI's growing impact on IP procedures.

Conclusions:

  • AI is a significant emerging technology for interventional pulmonology.
  • Further research and ethical guidelines are needed to optimize AI's role in IP.
  • AI is poised to revolutionize pulmonary disease diagnosis and treatment.