AI in Ophthalmology: Three Applications in Risk Assessment, Detection, and the Fight Against Misinformation

Oculomics is a new medical approach that uses datasets from retinal imaging and artificial intelligence (AI) algorithms to improve risk assessment scores in a range of systemic diseases. In this episode we will learn more about this promising field of ocular biomarkers and other areas of ophthalmology where AI is being successfully applied.

References:

  1. Arnould L, Meriaudeau F, Guenancia C, Germanese C, Delcourt C, Kawasaki R, et al. Using Artificial Intelligence to Analyse the Retinal Vascular Network: The Future of Cardiovascular Risk Assessment Based on Oculomics? A Narrative Review. Ophthalmol Ther. 2023;12(2):657-674. Available at: https://viatris-coe.s3.eu-central-1.amazonaws.com/general/gr/general/OPH_1_Using_Artificial_Intelligence_to_Analyse_the_Retinal_Vascular_Network.pdf
  2. Pandey PU, Ballios BG, Christakis PG, Kaplan AJ, Mathew DJ, Ong Tone S, et al. An ensemble of deep convolutional neural networks is more accurate and reliable than board-certified ophthalmologists at detecting multiple diseases in retinal fundus photographs. Br J Ophthalmol. 2023; 2022-322183. Available at: https://bjo.bmj.com/content/early/2023/01/30/bjo-2022-322183
  3. Rasmussen MLR, Larsen AC, Subhi Y, Potapenko I. Artificial intelligence-based ChatGPT chatbot responses for patient and parent questions on vernal keratoconjunctivitis. Graefes Arch Clin Exp Ophthalmol. 2023; doi: 10.1007/s00417-023-06078-1. Epub ahead of print. Available at: https://viatris-coe.s3.eu-central-1.amazonaws.com/general/gr/general/OPH_3_Artificial_intelligence-based_ChatGPT_chatbot_responses_for_patient_and_parent_questions_on_vernal_keratoconjunctivitis.pdf

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