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Scope of artificial intelligence in airway management
Naveen B Naik1, Preethy J Mathew1, Pankaj Kundra2
1Department of Anaesthesia and Intensive Care, Post Graduate Institute of Medical Education and Research, Chandigarh, India.
Indian Journal of Anaesthesia
|February 26, 2024
Summary
Artificial intelligence (AI) enhances anaesthesia safety and efficiency through advanced data processing and algorithms. AI shows promise in predicting difficult intubations, improving airway management and patient outcomes.
Area of Science:
- Anesthesiology and Artificial Intelligence (AI)
Background:
- AI advancements in data processing, algorithms, and computation have significantly improved anaesthesia safety.
- AI enhances equipment efficiency, perioperative risk assessment, monitoring, and drug administration.
Purpose of the Study:
- To review the current status and future clinical applications of AI in anaesthesia.
- To explore AI's impact on improving patient safety and optimizing resources in perioperative care.
Main Methods:
- This narrative review synthesizes recent developments in AI for anaesthesia.
- Focuses on AI applications in airway management, including difficult intubation prediction.
Main Results:
- AI integration has demonstrably improved safety and efficiency in various aspects of anaesthesia.
- AI models can predict difficult intubations by analyzing subjective and objective patient factors.
Conclusions:
- AI is poised to considerably impact difficult airway management and overall patient safety in anaesthesiology.
- Future clinical applications of AI in anaesthesia are expected to further optimize patient care and resource management.
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