Artificial intelligence in cornea, refractive, and cataract surgery

Purpose of review The subject of artificial intelligence has recently been responsible for the advancement of many industries including aspects of medicine and many of its subspecialties. Within ophthalmology, artificial intelligence technology has found ways of improving the diagnostic and therapeutic processes in cornea, glaucoma, retina, and cataract surgery. As demands on the modern ophthalmologist grow, artificial intelligence can be utilized to help address increased demands of modern medicine and ophthalmology by adding to the physician's clinical and surgical acumen. The purpose of this review is to highlight the integration of artificial intelligence into ophthalmology in recent years in the areas of cornea, refractive, and cataract surgery. Recent findings Within the realms of cornea, refractive, and cataract surgery, artificial intelligence has played a major role in identifying ways of improving diagnostic detection. In keratoconus, artificial intelligence algorithms may help with the early detection of keratoconus and other ectatic disorders. In cataract surgery, artificial intelligence may help improve the performance of intraocular lens (IOL) calculation formulas. Further, with its potential integration into automated refraction devices, artificial intelligence can help provide an improved framework for IOL formula optimization that is more accurate and customized to a specific cataract surgeon. Summary The future of artificial intelligence in ophthalmo...
Source: Current Opinion in Ophthalmology - Category: Opthalmology Tags: REFRACTIVE SURGERY: Edited by Jimmy K. Lee Source Type: research

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Condition:   Glaucoma Interventions:   Device: Baerveldt 350 implant;   Device: Ahmed ClearPath 350 implant Sponsor:   Duke University Not yet recruiting
Source: ClinicalTrials.gov - Category: Research Source Type: clinical trials
Condition:   Senile Cataract Intervention:   Other: Questionnaire Sponsor:   Medical University Innsbruck Not yet recruiting
Source: ClinicalTrials.gov - Category: Research Source Type: clinical trials
DISCUSSION: To the best of our knowledge, this is the first reported case of endocapsular haematoma as a complication of non-penetrating glaucoma surgery that has been successfully solved by a YAG capsulotomy. PMID: 32653318 [PubMed - as supplied by publisher]
Source: Archivos de la Sociedad Espanola de Oftalmologia - Category: Opthalmology Tags: Arch Soc Esp Oftalmol Source Type: research
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Source: Biomedical Signal Processing and Control - Category: Biomedical Science Source Type: research
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Source: Acta Diabetologica - Category: Endocrinology Source Type: research
Abstract With the advancement of computational power, refinement of learning algorithms and architectures, and availability of big data, artificial intelligence (AI) technology, particularly with machine learning and deep learning, is paving the way for 'intelligent' healthcare systems. AI-related research in ophthalmology previously focused on the screening and diagnosis of posterior segment diseases, particularly diabetic retinopathy, age-related macular degeneration and glaucoma. There is now emerging evidence demonstrating the application of AI to the diagnosis and management of a variety of anterior segment c...
Source: The British Journal of Ophthalmology - Category: Opthalmology Authors: Tags: Br J Ophthalmol Source Type: research
Conclusion: Cortical cataracts, stage 4 keratoconus, retinal black spots, and lack of glaucoma along with mutations of AIPL1 (c.862 C > T) can be present in LCA type 4. PMID: 31342828 [PubMed - as supplied by publisher]
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More News: Cataract Removal | Cataracts | Glaucoma | Keratoconus | Opthalmology