Progress in the Application of Artificial Intelligence in the Perioperative Period of Cataract

Yabo Liang; Yuanping Zhang

doi:10.47297/wspbdsWSP2752-630537.20260601

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Progress in the Application of Artificial Intelligence in the Perioperative Period of Cataract

Volume 6, Issue 1

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Progress in the Application of Artificial Intelligence in the Perioperative Period of Cataract
Progress in the Application of Artificial Intelligence in the Perioperative Period of Cataract
Kunming Medical University, Kunming, Yunnan, 650000, China
Vol. 6, Issue 1, Pages: 166-168(2026)
Published：30 March 2026
DOI：10.47297/wspbdsWSP2752-630537.20260601
Accepted：

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Liang Yabo,Zhang Yuanping.Progress in the Application of Artificial Intelligence in the Perioperative Period of Cataract[J].Biomedical Data Science,2026,06(01):166-168.
DOI：

Liang Yabo,Zhang Yuanping.Progress in the Application of Artificial Intelligence in the Perioperative Period of Cataract[J].Biomedical Data Science,2026,06(01):166-168. DOI： 10.47297/wspbdsWSP2752-630537.20260601.

摘要

Abstract

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.

关键词

Keywords

references

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