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Literature DB >> 32587160

Commentary: Artificial intelligence for everything: Can we trust it?

John Davis Akkara¹, Anju Kuriakose².

Abstract

Entities: Disease Gene Species

Year: 2020 PMID： 32587160 DOI： 10.4103/ijo.IJO_216_20

Source DB: PubMed Journal: Indian J Ophthalmol ISSN： 0301-4738 Impact factor: 1.848

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3 in total

1. Identification of glaucoma from fundus images using deep learning techniques.

Authors: S Ajitha; John D Akkara; M V Judy
Journal: Indian J Ophthalmol Date: 2021-10 Impact factor: 1.848

2. Commentary: Is human supervision needed for artificial intelligence?

Authors: John Davis Akkara; Anju Kuriakose
Journal: Indian J Ophthalmol Date: 2022-04 Impact factor: 2.969

3. Utilizing human intelligence in artificial intelligence for detecting glaucomatous fundus images using human-in-the-loop machine learning.

Authors: Prasanna Venkatesh Ramesh; Tamilselvan Subramaniam; Prajnya Ray; Aji Kunnath Devadas; Shruthy Vaishali Ramesh; Sheik Mohamed Ansar; Meena Kumari Ramesh; Ramesh Rajasekaran; Sathyan Parthasarathi
Journal: Indian J Ophthalmol Date: 2022-04 Impact factor: 2.969

3 in total