Guidelines for the application of artificial intelligence in the diagnosis of anterior segment diseases (2023)

The landscape of ophthalmology has observed monumental shifts with the advent artificial intelligence (AI) technologies. This article is devoted to elaborating on nuanced application AI in diagnostic realm anterior segment eye diseases, an area ripe potential yet complex its imaging characteristics. Historically, AI's entrenchment was predominantly rooted posterior segment. However, evolution machine learning paradigms, particularly deep methodologies, reframed focus. When combined exponential surge available electronic image data pertaining segment, role diagnosing corneal, conjunctival, lens, and eyelid pathologies been solidified emerged from theoretical practical. In light this transformative potential, collaborations between Ophthalmic Imaging Intelligent Medicine Subcommittee China Medical Education Association Ophthalmology Committee International Translational have instrumental. These eminent bodies mobilized a consortium experts dissect assimilate advancements both national international quarters. Their mandate not limited like cornea, conjunctiva, eyelids, but also ventured into deciphering existing impediments envisioning future trajectories. After iterative deliberations, consensus synthesized herein serves as touchstone, assisting ophthalmologists optimally integrating their decisions bolstering clinical research. Through guideline, we aspire offer comprehensive framework, ensuring that are merely informed transformed by AI. By building upon literature maintaining highest standards originality, document stands testament innovation academic integrity, line ethos renowned journals such Ophthalmology.