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Abstract #121018 Published in IGR 25-1

Detecting Eye Disease Using Vision Transformers Informed by Ophthalmology Resident Gaze Data

Kaushal S; Sun Y; Zukerman R; Chen RWS; Thakoor KA
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 2023; 2023: 1-4


We showcase two proof-of-concept approaches for enhancing the Vision Transformer (ViT) model by integrating ophthalmology resident gaze data into its training. The resulting Fixation-Order-Informed ViT and Ophthalmologist-Gaze-Augmented ViT show greater accuracy and computational efficiency than ViT for detection of the eye disease, glaucoma.Clinical relevance- By enhancing glaucoma detection via our gaze-informed ViTs, we introduce a new paradigm for medical experts to directly interface with medical AI, leading the way for more accurate and interpretable AI 'teammates' in the ophthalmic clinic.

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15 Miscellaneous



Issue 25-1

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