[关键词]
[摘要]
人工智能(AI)技术在医学领域的应用，特别是视网膜脱离(RD)预测及诊疗中，取得了令人瞩目的成果。文章分析了AI在RD的应用进展，涵盖了RD发生率预测、手术成功率评估、到术后视力范围及手术后复发率预测等多个维度； 在辅助诊断方面，AI技术在眼科影像领域的应用尤为突出，包括对超广角眼底彩照、光学相干断层扫描(OCT)、眼部B超以及人工智能聊天机器人的辅助诊断； 此外，在手术决策、机器人辅助手术系统以及手术并发症的评估中也展现出了其独特的价值。文章概述了AI在RD中的应用现状，有望帮助解决目前临床存在的诸多难题，也指出了当前存在的挑战，并展望未来的发展前景。
[Key word]
[Abstract]
The application of artificial intelligence(AI)in the medical field, particularly for predicting, diagnosing and treating retinal detachment(RD), has made remarkable achievements. This paper reviews the advancements in AI applications for RD across multiple dimensions, including predicting RD incidence, assessing surgical success rates, forecasting postoperative visual outcomes, and evaluating recurrence rates. In diagnostic support, AI technology has demonstrated significant value, especially in ophthalmic imaging, with applications in the intelligent analysis of ultra-wide-angle fundus photography, optical coherence tomography(OCT), ophthalmologic ultrasound images, and AI chatbots models. Furthermore, AI has proven uniquely beneficial in surgical decision-making, robotic-assisted surgical systems, and the assessment of surgical complications. This paper provides a comprehensive overview of the current state of AI applications in RD, underscoring its potential to address numerous challenges in clinical practice. It also explores existing limitations and offers insights into future directions for development in this field.
[中图分类号]
[基金项目]
湖南省自然科学基金项目(No.2023JJ70049); 广州市科技计划项目(No.202201020075)
