Objective evaluation of allergic conjunctival disease (with a focus on the application of artificial intelligence technology)

Abstract

We have summarized the past efforts and results of objective measurement methods for conjunctival hyperemia classification. Severity classification using conjunctival blood vessel occupancy rate, ocular surface temperature analysis, and artificial intelligence have been reported to be clinically useful, as they have been found to correlate with the severity of conjunctival hyperemia by doctors. The AI method using slit lamp microscope images, whose main purpose is to be widely used in daily clinical practice, can be spread all over the world. As a result, it may lay the foundation for clinical research using large amounts of clinical data collected on the same basis without human bias.

Keywords

• Artificial intelligence
• Blood vessel occupancy rate
• Conjunctival hyperemia
• Objective measurement
• Ocular thermography