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gastroenterology machine learning algorithms  (Wolters Kluwer Health)

 
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    Wolters Kluwer Health gastroenterology machine learning algorithms
    Gastroenterology Machine Learning Algorithms, supplied by Wolters Kluwer Health, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/machine+learning+algorithm/learning+machine/pm42044208-171-13-2
    Average 86 stars, based on 1 article reviews
    gastroenterology machine learning algorithms - by Bioz Stars, 2026-09
    86/100 stars

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    Article Title: A(eye): A Review of Current Applications of Artificial Intelligence and Machine Learning in Ophthalmology
    Article Snippet: Abstract: Artificial intelligence (AI) is a branch of computer science that aims to enable computers to perform human-like tasks. Although AI is a broad discipline, machine learning is a specific branch of AI that uses computer algorithms capable of “learning” through the simulation of human intelligence. Machine learning algorithms have been applied to the medical field since the 1970s,1 and since that time have proven useful in computerassisted diagnosis, screening, and prognostication of disease.2–7 Ophthalmology is uniquely capable of capitalizing on the promise of AI. Ophthalmologists, during routine clinical encounters, generate robust data sources capable of supporting machine learning algorithms including multimodal ophthalmic images and quantifiable metrics such as visual acuity (VA), intraocular pressure, and cup to disk ratio. To date, AI techniques have been applied to ophthalmology to screen for and diagnose diseases, such as diabetic retinopathy (DR), age-related macular degeneration (AMD), macular edema (ME), glaucoma, keratoconus, postlaserassisted in situ keratomileusis corneal ectasia, retinopathy of prematurity (ROP), and cataracts, as well as predict the prognosis of various ophthalmic diseases



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