| Literature DB >> 33689543 |
Maryam Tahvildari1, Rohan Bir Singh1,2, Hajirah N Saeed1.
Abstract
Diagnosis and treatment planning in ophthalmology heavily depend on clinical examination and advanced imaging modalities, which can be time-consuming and carry the risk of human error. Artificial intelligence (AI) and deep learning (DL) are being used in different fields of ophthalmology and in particular, when running diagnostics and predicting outcomes of anterior segment surgeries. This review will evaluate the recent developments in AI for diagnostics, surgical interventions, and prognosis of corneal diseases. It also provides a brief overview of the newer AI dependent modalities in corneal diseases.Entities:
Keywords: Artificial intelligence; corneal diseases; machine learning; neural networks; refractive surgery
Year: 2021 PMID: 33689543 DOI: 10.1080/08820538.2021.1893763
Source DB: PubMed Journal: Semin Ophthalmol ISSN: 0882-0538 Impact factor: 1.975