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Published on: August 9, 2024
Application of real-time artificial intelligence to cataract surgery
Neil Shah1, James Wawrzynski2, Rohan Hussain2
1Moorfields Eye Hospital NHS Foundation Trust, London, UK neil.shah5@nhs.net.
This study introduces an AI tool for real-time cataract surgery analysis. Real-time artificial intelligence significantly reduced operating time for consultant surgeons, improving efficiency.
Area of Science:
- Ophthalmology
- Artificial Intelligence
- Surgical Technology
Background:
- Cataract surgery lacks real-time AI analysis.
- This study developed and evaluated an AI tool for phacoemulsification.
Purpose of the Study:
- Demonstrate AI for phacoemulsification phase recognition and analysis.
- Evaluate real-time AI application in live cataract surgery.
Main Methods:
- Phase I: Analyzed 192 surgical videos using AI for phase segmentation (International Council of Ophthalmology-Ophthalmology Surgical Competency Assessment Rubric).
- Phase II: Deployed real-time AI on auxiliary screens in operating theaters for 74 cases.
Main Results:
- AI successfully segmented cataract surgery into distinct phases.
- Consultant surgeons showed a significant decrease in case duration with real-time AI assistance.
Conclusions:
- First independent AI platform for cataract surgery efficiency metrics demonstrated.
- Real-time AI shows potential to enhance operative efficiency and surgical training.
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