Evaluation of an AI algorithm trained on an ethnically diverse dataset to screen a previously unseen population for diabetic retinopathy.

Journal: Indian journal of ophthalmology
Published Date: Jul 29, 2024

Abstract

PURPOSE: This study aimed to determine the generalizability of an artificial intelligence (AI) algorithm trained on an ethnically diverse dataset to screen for referable diabetic retinopathy (RDR) in the Armenian population unseen during AI development.

Authors

  • Divya P Rao
    AL& ML, Remidio Innovative Solutions, Inc, Glen Allen, USA.
  • Florian M Savoy
    AI&ML, Medios Technologies Pte Ltd, Remidio Innovative Solutions, Singapore.
  • Anand Sivaraman
    AI&ML, Remidio Innovative Solutions Pvt Ltd, Bengaluru, India.
  • Sreetama Dutt
    AI&ML, Remidio Innovative Solutions Pvt Ltd, Bengaluru, India.
  • Marianne Shahsuvaryan
    Ophthalmology, Yerevan State Medical University, Armenia.
  • Nairuhi Jrbashyan
    Dept of Economics and Management, Yerevan State University, Armenia.
  • Narine Hambardzumyan
    Armenian Eyecare Project, Yerevan State University, Armenia.
  • Nune Yeghiazaryan
    Armenian Eyecare Project, Yerevan State University, Armenia.
  • Taraprasad Das
    Vitreoretinal Services, Kallam Anji Reddy Campus, LV Prasad Eye Institute, Hyderabad, India.

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