“ARTIFICIAL INTELLIGENCE FOR CATARACT MANAGEMENT”

To sum up and to present the applications of artificial intelligence in detection and surgery of cataract.

University of Thessaly, school of Health Sciences, faculty of medicine, Larissa, Greece

This is a literature review and for this, two research databases namely ResearchGate and  Google scholar were searched. The review involves research database searches technique using keyword searches technique, backward search of literatures referenced in the research paper under review and forward search of Google Scholar database of literatures citing the literature under review.

Cataract is the major cause of blindness worldwide. Therefore, many researchers have focused on the use of AI for identification and grading of cataracts, which can be helpful for large-population screening. Nowadays, artificial intelligence used in the field of cataract management and surgery. For cataract diagnosis and grading there are many AI-image analysis based models in several research settings. But also, an effort is made for new AI-tools to help during the intraoperative stage of cataract surgery. They are based on video analysis and create a source for storage, cataloging libraries of surgical videos used for teaching and training, surgical research and complication review. Also, Artificial intelligence-based software can provide real time multimodal imaging analysis to recognize surgical phase and estimate workflow. Post-operatively, AI tools seems to assess risk of intraocular lens dislocation, to detect posterior capsule opacification, to evaluate recovery process and to predict postsurgical complications.  All these are discussed in this review.

AI techniques enhance accuracy, efficiency and patient outcomes in cataract care. They have good results in cataract detection but despite the great integration of AI into other surgical fields, the utilization of AI in cataract surgery is still in its initial stages.