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Related Concept Videos

Focusing of Light in the Eye01:16

Focusing of Light in the Eye

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Light rays enter the eye through the cornea, a transparent dome-shaped tissue that is the eye's outermost layer. The cornea bends or refracts, light rays traveling to the pupil. The shape of the cornea determines how much of the light is bent and whether the image will be focused correctly on the retina at the back of the eye. Once the light has passed through both refraction layers, it converges into a single focal point onto a small area. This is where photoreceptors start transforming...
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Related Experiment Video

Updated: May 10, 2025

Author Spotlight: Advancements in Refractive Surgical Correction for Presbyopia and Exploring Postoperative Visual Acuity
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Author Spotlight: Advancements in Refractive Surgical Correction for Presbyopia and Exploring Postoperative Visual Acuity

Published on: September 20, 2024

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Artificial intelligence in refractive surgery.

Phillip C Hoopes1, Kayvon A Moin1, Majid Moshirfar1,2,3

  • 1Ophthalmology, Hoopes Vision Research Center, Hoopes Vision, Draper.

Current Opinion in Ophthalmology
|April 25, 2025
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) is increasingly vital in refractive surgery for diagnostics and decision-making. AI enhances patient outcomes through improved pathology detection and intraocular lens selection.

Keywords:
artificial intelligencerefractive surgery

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Area of Science:

  • Ophthalmology
  • Medical Technology
  • Artificial Intelligence

Background:

  • Artificial intelligence (AI) is increasingly integrated into medical diagnostics and decision-making.
  • In ophthalmology, AI is becoming integral to refractive surgery, utilizing advanced imaging analysis.

Purpose of the Study:

  • To review the expanding role of AI in refractive surgery, including diagnostics, biometry, and surgical planning.
  • To highlight AI's contribution to education for future refractive surgery professionals.

Main Methods:

  • International literature review focusing on AI applications in ophthalmology.
  • Analysis of common themes in AI research related to refractive surgery.

Main Results:

  • AI research in ophthalmology is rapidly growing globally, with significant contributions from China and the USA.
  • Key applications include biometry for intraocular lens (IOL) selection, keratoconus detection, and phakic IOL sizing.

Conclusions:

  • AI, machine learning, and deep learning will significantly advance refractive surgery safety and efficacy.
  • Improved pathology detection and IOL selection accuracy will lead to better outcomes in laser vision correction and IOL procedures.