Related Experiment Video
Updated: Oct 30, 2025
05:14
Comparison of Agreement and Accuracy using Binocular Wavefront Optometer with Autorefractor and Phoropter
Published on: September 16, 2025
230
Artificial Intelligence in Cornea, Refractive Surgery, and Cataract: Basic Principles, Clinical Applications, and
Radhika Rampat1, Rashmi Deshmukh2, Xin Chen3
1Moorfields Eye Hospital, London, UK.
Summary
Artificial intelligence (AI) is increasingly used in ophthalmology for anterior segment diseases, improving diagnosis and treatment. This review highlights recent AI advancements and explains core concepts for broader clinical adoption.
Area of Science:
- Ophthalmology
- Artificial Intelligence
- Medical Imaging
Background:
- Corneal diseases, refractive errors, and cataracts are leading causes of global blindness.
- Refractive surgeries are increasing due to rising demand for vision correction.
- Artificial intelligence (AI) shows promise in ophthalmology, expanding from retinal diseases to anterior segment applications.
Purpose of the Study:
- To provide a comprehensive review of AI applications in anterior segment ophthalmic diseases.
- To emphasize recent advancements in AI for eye conditions over the past few years.
- To clarify fundamental AI principles (machine learning, deep learning) for ophthalmologists and vision scientists.
Main Methods:
- Review of current literature on AI in anterior segment ophthalmology.
- Focus on AI applications utilizing slit-lamp photography, OCT, corneal tomography, and confocal microscopy.
- Exploration of AI in diagnosing and managing conditions like keratitis, keratoconus, and ocular surface pathologies.
Main Results:
- AI is being applied to diverse anterior segment conditions including infectious keratitis, keratoconus, and corneal grafts.
- AI assists in preoperative screening for refractive surgery, intraocular lens calculation, and automated refraction.
- Recent advancements show significant potential for AI in improving diagnostic accuracy and treatment planning.
Conclusions:
- AI technologies are rapidly advancing for anterior segment eye diseases, offering new diagnostic and therapeutic avenues.
- Understanding AI principles is crucial for effective research and clinical implementation.
- Standardized guidelines (e.g., CONSORT-AI) are essential for the clinical translation of AI in ophthalmology.
Related Concept Videos
01:25Glaucoma: Overview
1.0K
Glaucoma is an eye condition characterized by increased intraocular pressure that damages the retina and optic nerve, leading to irreversible blindness if left untreated. The human eye has various components, including the cornea, iris, pupil, lens, and optic nerve. Aqueous humor is secreted by the epithelium of the ciliary body in the posterior chamber and flows through the trabecular meshwork and canal of Schlemm, maintaining normal intraocular pressure. The trabecular meshwork and the canal...
1.0K
01:28Angle Closure Glaucoma: Treatment
903
Angle-closure glaucoma, or closed-angle glaucoma, is an eye condition where the iris bulges out and blocks the iridocorneal angle, resulting in a buildup of aqueous humor and increased intraocular pressure. Immediate medical attention is necessary due to the sudden onset of symptoms. The treatment for angle-closure glaucoma includes short-term and long-term approaches. Short-term treatment involves using eye drops like pilocarpine to lower intraocular pressure by increasing aqueous humor...
903
01:16Focusing of Light in the Eye
3.6K
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...
3.6K