AIMC Topic: Phacoemulsification
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Factors influencing the estimation of phacoemulsification procedure time in cataract surgery: Analysis using neural networks.
Computer methods and programs in biomedicine
Jun 1, 2025
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 author...
PhacoTrainer: Automatic Artificial Intelligence-Generated Performance Ratings for Cataract Surgery.
Translational vision science & technology
May 1, 2025
PURPOSE: To investigate whether cataract surgical skill performance metrics automatically generated by artificial intelligence (AI) models can differentiate between trainee and faculty surgeons and the correlation between AI metrics and expert-rated ...
Predicting intraocular lens tilt using a machine learning concept.
Journal of cataract and refractive surgery
Aug 1, 2024
PURPOSE: To use a combination of partial least squares regression and a machine learning approach to predict intraocular lens (IOL) tilt using preoperative biometry data.
Refractive Predictability Using the IOLMaster 700 and Artificial Intelligence-Based IOL Power Formulas Compared to Standard Formulas.
Journal of refractive surgery (Thorofare, N.J. : 1995)
Jul 1, 2020
PURPOSE: To investigate the accuracy of intraocular lens (IOL) power calculation formulas using swept-source optical coherence tomography (SS-OCT).
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