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Machine Vision and Image Analysis in Anesthesia: Narrative Review and Future Prospects
Hannah Lonsdale1, Geoffrey M Gray2, Luis M Ahumada2
1From the Division of Pediatric Anesthesiology, Department of Anesthesiology, Vanderbilt University Medical Center, Nashville, Tennessee.
Anesthesia and Analgesia
|September 15, 2023
Summary
Machine vision, using artificial intelligence for image analysis, is emerging in anesthesia. Early applications show promise in areas like airway management and intubation detection, with potential to improve patient care.
Area of Science:
- Artificial Intelligence
- Medical Imaging
- Anesthesiology
Background:
- Machine vision, AI for image interpretation, is established in radiology, ophthalmology, and dermatology.
- Its application in anesthesiology is nascent but holds significant potential.
- Existing research explores anatomical recognition, airway assessment, and intubation detection.
Conclusions:
- Machine vision technology is rapidly advancing, with significant potential to enhance anesthesia care.
- Anesthesiologists must be prepared to evaluate the safety, appropriateness, and value of these emerging tools.
- Proactive engagement with machine vision is crucial for optimizing future clinical practice and patient outcomes.
