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Artificial Intelligence, Digital Imaging, and Robotics Technologies for Surgical Vitreoretinal Diseases
Stanley S J Poh1, Josh T Sia2, Michelle Y T Yip2
1Singapore National Eye Centre, Singapore Eye Research Institute, Singapore; Ophthalmology and Visual Sciences Academic Clinical Program, Duke-NUS Medical School, Singapore.
Ophthalmology. Retina
|January 27, 2024
Summary
Recent technological advancements in imaging, surgical visualization, robotics, and artificial intelligence are transforming the management of surgical vitreoretinal (VR) diseases, promising improved patient outcomes.
Area of Science:
- Ophthalmology
- Medical Technology
- Surgical Innovation
Background:
- Advanced imaging, including widefield fundal photography and OCT, enhances assessment of peripheral retinal disorders.
- Intraoperative OCT and 3D display technologies improve surgical visualization and guidance.
- Robotics offer enhanced precision for procedures like retinal vein cannulation and drug delivery.
Purpose of the Study:
- To review recent technological advancements in imaging, surgical visualization, robotics, and AI for surgical vitreoretinal diseases.
Main Methods:
- Review of recent technological advancements.
- Analysis of innovations in imaging, surgical visualization, robotics, and artificial intelligence.
Main Results:
- Imaging technologies like OCT angiography provide noninvasive vascular assessment.
- Heads-up and head-mounted displays improve surgical ergonomics and guidance.
- AI and deep learning enhance predictive accuracy for disease classification and prognostication.
Conclusions:
- Continuous technological innovation is crucial for advancing surgical vitreoretinal disease management.
- These advancements have the potential to significantly improve patient care in the near future.
