With the advancement of artificial intelligence (AI) technology, the research and application scope and influence of methods such as deep learning in the medical field are expanding day by day. The combination of new technologies and clinical practice has also become a research hotspot in recent years. This article systematically reviews the current application status of AI in key stages of the cataract perioperative period, including preoperative biometry, intraocular lens (IOL) calculation, surgical navigation, and complication prediction. It focuses on analyzing innovative technologies such as preoperative analysis based on AI, surgical processes assisted by computer vision, and prediction models constructed for postoperative risks. AI shows quite obvious advantages in improving measurement accuracy, optimizing surgical plans, and reducing the risk of complications, but still faces challenges in data standardization and model interpretability.
Yabo et al. (Thu,) studied this question.