Advancements in Artificial Intelligence for Robotic-Assisted Eye Surgery: Enhancing Precision, Efficiency, and Patient Outcomes

Abstract

Artificial Intelligence integration with robotic eye surgery technology shows promise to change ophthalmology through better surgical precision and both improved results and reduced operator mistakes. This paper looks at modern advancements of AI-steered robotic surgeries for ophthalmic operations to explore their benefits for higher precision along with faster recovery times and improved treatment results.

Methods: The research team examined articles through PubMed IEEE Xplore and Scopus databases which included studies within the time period from January 2018 up to August 2024. The review provides information about primary AI applications and details robotic system developments and analyzes research findings from ophthalmic surgery AI interventions.

Results:
Robotic systems employing AI algorithms provide accurate time-saving treatments for eye procedures involving cataract removal and glaucoma therapy as well as retinal surgical interventions. The connected systems allow immediate image-based analytics to create automatic surgical adaptations alongside individually tailored treatment predictions for surgeons. AI applications for preoperative planning alongside postoperative monitoring produce outstanding patient recovery results and better surgical outcomes. 

Conclusion:
The future of ophthalmology guides toward a new surgical period because AI along with robotic surgery delivers highly specific treatment with improved efficiency and customized care. Additional work needs to occur in clinical settings to validate the technology and there are also high costs alongside data privacy concerns that remain as challenges for AI. Future research together with technological development needs to take on the responsibility of resolving these challenges to ensure smooth AI implementation in ophthalmic surgery.