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Artificial intelligence applications in cataract and refractive surgeries.

Radhika Rampat1, Guillaume Debellemanière2, Damien Gatinel2

  • 1Royal Free London NHS Trust, London, UK.

Current Opinion in Ophthalmology
|September 11, 2024
PubMed
Summary

Artificial intelligence (AI) is revolutionizing cataract and refractive surgeries with improved diagnostics and patient care. Further integration of AI tools into clinical practice is key for realizing these advancements.

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Area of Science:

  • Ophthalmology
  • Medical Technology
  • Computer Science

Background:

  • Artificial intelligence (AI) technologies are rapidly evolving.
  • AI applications in medicine are expanding.
  • Cataract and refractive surgeries are key areas for AI integration.

Purpose of the Study:

  • To review recent advancements in AI applications for cataract and refractive surgeries.
  • To provide an updated overview of AI's impact and emerging trends in ophthalmic surgery.
  • To highlight the clinical implications and integration challenges of AI in eye care.

Main Methods:

  • Literature review of recent advancements in AI for ophthalmic surgery.
  • Analysis of AI applications in diagnostics, intraoperative support, and patient management.
  • Synthesis of findings on AI-driven diagnostic scores, image analysis, and generative AI.

Main Results:

  • AI enhances diagnostics and intraoperative support in cataract and refractive surgeries.
  • AI-powered image analysis aids anterior segment surgeries.
  • AI tools are developed for early disease detection, treatment planning, patient education, and postoperative monitoring.
  • Generative AI is being integrated for patient education and monitoring.

Conclusions:

  • AI significantly improves diagnostic accuracy, patient education, and clinical workflows in ophthalmic surgery.
  • AI promises more personalized patient care and facilitates early disease detection.
  • Successful clinical integration of AI advancements requires focused effort.