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Artificial Intelligence in Cardiovascular and Thoracic Anesthesia.

Ali Dabbagh1, A Sassan Sabouri2, Firoozeh Madadi1

  • 1Department of Anesthesiology, School of Medicine, Anesthesiology Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Anesthesiology Clinics
|August 2, 2025
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) is revolutionizing cardiothoracic anesthesia by rapidly analyzing complex patient data. This technology aids anesthesiologists in minimizing complications and improving patient outcomes in cardiac procedures.

Keywords:
Artificial intelligenceCardiac anesthesiaDeep learningMachine learningThoracic anesthesia

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Area of Science:

  • Cardiothoracic Anesthesia
  • Artificial Intelligence
  • Medical Informatics

Background:

  • The complexity of cardiothoracic anesthesia necessitates efficient data analysis for optimal patient care.
  • Artificial intelligence (AI) offers advanced capabilities for processing large datasets in real-time.
  • Swift evaluation of numerous variables is critical for anesthesiologists to prevent complications and enhance outcomes.

Purpose of the Study:

  • To explore the current applications and impact of AI in cardiothoracic anesthesia.
  • To present evidence supporting the integration of AI in cardiac anesthesia practices.
  • To outline future research directions and integration strategies for AI in the field.

Main Methods:

  • Review of current literature on AI applications in cardiothoracic anesthesia.
  • Analysis of AI's role in data processing and variable evaluation.
  • Discussion of challenges and proposed solutions for AI implementation.

Main Results:

  • AI demonstrates significant potential in analyzing complex datasets within cardiothoracic anesthesia.
  • Evidence suggests AI can aid in swift evaluation of patient variables, improving outcomes.
  • The field is rapidly evolving, with ongoing research into AI's capabilities.

Conclusions:

  • AI is a transformative technology in cardiothoracic anesthesia, enhancing data analysis and decision-making.
  • Further research and integration are needed to fully leverage AI's potential in cardiac anesthesia.
  • Addressing implementation challenges will be key to realizing AI's benefits for patients and clinicians.