影响白内障超声乳化手术时间估计的因素：神经网络分析

IF 4.9 2区医学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Computer methods and programs in biomedicine Pub Date : 2025-04-10 DOI:10.1016/j.cmpb.2025.108770

Magdalena Jędzierowska , Robert Koprowski , Michele Lanza , Michał Walczak , Anna Deda

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引用次数: 0

摘要

客观准确地估计手术时间是影响医院工作优化的关键因素之一，从而影响到预算的规划和管理。在本研究中，作者提出了一种基于眼科和全身因素的白内障超声乳化手术预测方法。方法选择行白内障超声乳化术的1192例患者，年龄70.4±10岁。外科手术由经验丰富的外科医生和受训人员进行（占手术的15%）。提取25个参数，在此基础上，利用反向传播神经网络，提出了一种基于一组输入特征预测手术持续时间的算法。结果所提方法的实际操作时间与预测操作时间的平均绝对误差为5.09 min，而所得结果的准确率为69.74%（最佳输入特征集为7个）。结论机器学习算法可以成功预测白内障手术时间，手术经验、患者视力（UCVA）、眼压（IOP）、角膜曲率和球体值（SF）等因素对超声乳化术白内障手术时间有显著影响。

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Factors influencing the estimation of phacoemulsification procedure time in cataract surgery: Analysis using neural networks

Background and Objective

Realistic and accurate estimation of the surgery duration is one of the key factors influencing the optimization of hospital work and, consequently, the planning and management of the budget. In the present study, the authors proposed a method for predicting the phacoemulsification cataract surgery based on ophthalmic and systemic factors.

Methods

The study group included 1192 patients aged 70.4 ± 10 years who underwent phacoemulsification cataract surgery. The surgical procedures were performed by both experienced surgeons and trainees (15 % of procedures). 25 parameters were extracted, on the basis of which, using neural networks with backpropagation, an algorithm was proposed that predicted the surgery duration based on a set of input features.

Results

For the proposed method, the mean absolute error between the actual and predicted operation time was 5.09 min, whereas the accuracy of the obtained results was 69.74 % (for the best set of 7 input features).

Conclusions

The obtained results indicate that machine learning algorithms can be successfully used to predict the time of cataract surgery, and factors such as: surgeon's experience, patient's visual acuity (UCVA), intraocular pressure (IOP), corneal curvature and sphere value (SF) significantly influence the phacoemulsification cataract surgery duration.

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来源期刊

Computer methods and programs in biomedicine 工程技术-工程：生物医学

CiteScore

12.30

自引率

6.60%

发文量

601

审稿时长

135 days

期刊介绍： To encourage the development of formal computing methods, and their application in biomedical research and medical practice, by illustration of fundamental principles in biomedical informatics research; to stimulate basic research into application software design; to report the state of research of biomedical information processing projects; to report new computer methodologies applied in biomedical areas; the eventual distribution of demonstrable software to avoid duplication of effort; to provide a forum for discussion and improvement of existing software; to optimize contact between national organizations and regional user groups by promoting an international exchange of information on formal methods, standards and software in biomedicine. Computer Methods and Programs in Biomedicine covers computing methodology and software systems derived from computing science for implementation in all aspects of biomedical research and medical practice. It is designed to serve: biochemists; biologists; geneticists; immunologists; neuroscientists; pharmacologists; toxicologists; clinicians; epidemiologists; psychiatrists; psychologists; cardiologists; chemists; (radio)physicists; computer scientists; programmers and systems analysts; biomedical, clinical, electrical and other engineers; teachers of medical informatics and users of educational software.