Domain-Shift AI Technology for Vendor-Agnostic Multiple Macular Disease Detection From 3D OCT Scans

Key Points

• This study aims to evaluate the effectiveness of a vendor-agnostic deep learning model for detecting multiple macular diseases using 3D OCT scans.
• Multicenter cohort design involving various eye care settings.
• Implementation of a vendor-agnostic deep learning model.
• Focus on detection and triage of macular diseases from 3D OCT scans.
• The deep learning model showed potential for broad deployment across diverse ophthalmic practices.
• Results indicated improved detection and triage efficiency for multiple macular diseases.