August 2019


Cataract Surgery Post-LVC
Domo arigato, Mr. Roboto

In the end, it may be that the complexity of IOL power calculations is such that the best option is to get help from computers.
“We are in the age of artificial intelligence (AI) and we are now starting to see sophisticated algorithms that can improve accuracy in these post-refractive eyes,” Dr. Devgan said. “I am working with John Ladas, MD, an ophthalmologist and a scientist with great expertise in this area. His novel AI-based approach to these post-refractive eyes shows a lot of promise and is in development with Advanced Euclidean Solutions and will soon be featured for free at”
“The use of machine learning techniques can certainly bring new approaches to solve this issue,” Dr. Gatinel said. Dr. Gatinel worked with Guillaume Debellemanière, MD, and Alain Saad, MD, to develop a new formula they call Precision Enhancement using Artificial Intelligence and
Output Linearization (PEARL-DGS), accessible online at
“This formula is based on both optical and some kind of regression (machine learning based) considerations,” he said. “I am not sure that preoperative measurements (e.g., live OCT at the time of surgery to locate the capsular bag positioning) would help much unless you collect enough data to compensate for all the variability that happens to occur during surgery (intraocular pressure variations, corneal edema, vitreous changes, etc.) and that may fool proper estimation of eye anatomical relevant dimensions and spaces. For these same results, intraoperative aberrometry did not really deliver what it initially promised.”

Domo arigato, Mr. Roboto Domo arigato, Mr. Roboto
Ophthalmology News - EyeWorld Magazine
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