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Updated: Aug 16, 2025

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Optimized Artificial Intelligence for Enhanced Ectasia Detection Using Scheimpflug-Based Corneal Tomography and

Renato Ambrósio1, Aydano P Machado2, Edileuza Leão3

  • 1From the Department of Ophthalmology, the Federal University of the State of Rio de Janeiro, Brazil; Rio de Janeiro Corneal Tomography and Biomechanics Study Group, Rio de Janeiro, Brazil; Department of Ophthalmology, Federal University of São Paulo, São Paulo, Brazil; Brazilian Artificial Intelligence Networking in Medicine (BrAIN), Maceio and Rio de Janeiro, Brazil; World College of Refractive Surgery & Visual Sciences, Scottsdale, Arizona, USA.

American Journal of Ophthalmology
|December 22, 2022
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Optimized artificial intelligence (AI) algorithms integrating Scheimpflug-based corneal tomography and biomechanics improve ectasia detection accuracy. The novel TBIv2 algorithm shows enhanced performance in identifying subtle forms of ectasia.

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