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Updated: May 9, 2025

Ultrasound Cyclo Plasty in Eyes with Glaucoma

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Published on: January 26, 2018

Intraocular lens calculation formula developed using artificial intelligence for ultrasonic biometry.

Victor Antonio Kuiava¹, Eliseu Luiz Kuiava², Eduardo Ottobeli Chielli³

¹Departamento de Oftalmologia, Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, Brazil.

Arquivos Brasileiros De Oftalmologia

|April 29, 2025

Summary

An AI program for intraocular lens calculation using ultrasonic biometry demonstrated superior accuracy compared to the Barrett formula. This tool enhances precision in lens selection, especially when optical biometry is not feasible.

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Area of Science:

Ophthalmology
Artificial Intelligence
Biometry

Background:

Intraocular lens (IOL) calculation is crucial for refractive outcomes after cataract surgery.
Optical biometry is the standard, but ultrasonic biometry is essential when optical methods are unavailable.
Accurate IOL power calculation is vital for achieving emmetropia.

Purpose of the Study:

To develop and evaluate an artificial intelligence (AI) program for intraocular lens power calculation using ultrasonic biometry.
To enhance the precision and efficacy of IOL selection, particularly in challenging cases.
To compare the AI program's performance against established formulas.

Main Methods:

An AI program was developed using Python, Java, and PHP, employing ridge regression.
Two models were created: a basic model (keratometry, axial length, target refraction) and an advanced model (including preoperative refraction and age).
The AI models were validated against the Universal Barrett II formula using data from 486 eyes.

Main Results:

The AI program achieved spherical equivalent hit rates of 86% (basic) and 87.5% (advanced) within ±0.5 D.
The Barrett Universal II formula achieved a success rate of 69%, significantly lower than the AI models (p<0.0001).
The AI program showed better performance in medium and long eyes but was less accurate in short eyes.

Conclusions:

The developed AI program outperformed the Barrett formula in general and for patients with longer eyes.
This AI tool offers a significant advancement for IOL selection, especially when optical biometry is not an option.
The program demonstrates potential to improve refractive outcomes in routine and complex cataract surgeries.