Literature DB >> 33689543

Application of Artificial Intelligence in the Diagnosis and Management of Corneal Diseases.

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


  1 in total

1.  Artificial Intelligence Technique of Synthesis and Characterizations for Measurement of Optical Particles in Medical Devices.

Authors:  Walid Theib Mohammad; Sherin Hassan Mabrouk; Rania Mohammed Abd Elgawad Mostafa; Mohammad Bani Younis; Ahmad Maher Al Sayeh; Mona Abdelmoneim Abdelmabood Ebrahim; Samar Zuhair Alshawwa; Heba Abdelazezm Hassan Ismail; Manal Mahrous Abdalhamed Mohamed; Sara Wans Alshmmry; Malik Bader Alazzam; Md Kawser Ahmed
Journal:  Appl Bionics Biomech       Date:  2022-02-11       Impact factor: 1.781

  1 in total

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