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Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility

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Artificial Intelligence in Operating Room Management.

Valentina Bellini¹, Michele Russo¹, Tania Domenichetti¹

¹Anesthesiology, Intensive Care and Pain Medicine Division, Department of Medicine and Surgery, University of Parma, Parma, 43126, Italy.

Journal of Medical Systems

|February 14, 2024

Summary

This summary is machine-generated.

Artificial intelligence (AI) and machine learning significantly improve operating room management by predicting surgery times and optimizing resources. Continued AI innovation enhances healthcare efficiency and patient outcomes.

Keywords:

Artificial intelligence Machine learning Management Operating room Perioperative

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Area of Science:

Perioperative Medicine
Health Informatics
Artificial Intelligence

Background:

Operating room management faces challenges in efficiency and resource allocation.
Artificial intelligence (AI) offers potential solutions for complex healthcare operations.

Purpose of the Study:

To systematically review the recent applications of AI, particularly machine learning (ML), in operating room management.
To analyze the impact of AI on predicting surgical durations, optimizing resource allocation, and detecting cancellations.

Main Methods:

Systematic review of 22 studies published between February 2019 and September 2023.
Analysis focused on the application and effectiveness of ML algorithms (e.g., XGBoost, random forest, neural networks).

Main Results:

AI and ML effectively predict surgical case durations, improving accuracy.
Optimized resource allocation in post-anesthesia care units was observed.
AI demonstrated capability in detecting surgical case cancellations, enhancing operational foresight.

Conclusions:

AI integration in operating room management shows significant promise for improving efficiency and patient outcomes.
Addressing data access and privacy concerns is crucial for wider AI adoption.
Continued research and innovation are needed to fully realize AI's potential in perioperative medicine.