Study Shows Highest IOL Prediction Accuracy for Hill-RBF 3.0

A recently published study shows that Hill-RBF 3.0 performs better at predicting refractive outcomes in cataract surgery than any of the other formulae assessed, acclording to a Haag-Streit news release.
To analyze refractive outcomes in cataract surgery, Dr. Adi Abulafia, and his team at the Shaare Zedek Medical Center, Jerusalem, Israel, recently conducted a study comparing commonly used IOL calculation formulae. In this study, published in the Journal of Cataract & Refractive Surgery (JCRS), the Hill-RBF 3.0 was shown to perform significantly better than its predecessor. According to Dr. Adi Abulafia, the new Hill-RBF 3.0 formula showed high and similar prediction accuracy for both the optical low-coherence reflectometer and the SS-OCT biometry devices, and performed significantly better than its previous version, the Hill-RBF 2.0 formula.

The above graphic shows an extract of the data published in the JCRS and illustrates the superiority in IOL prediction of the Hill-RBF 3.0 formula to achieve refractive outcome of ± 0.5 diopters.
IOL data from all over the world, collected by leading cataract surgeons, is the foundation for the Hill-RBF method. This big data is analyzed by pattern recognition based on artificial intelligence leading to highly accurate IOL predictions and providing confidence, thanks to a unique reliability check, according to Haag-Streit.
Committed to further improve refractive outcomes, Warren Hill, MD, and Haag-Streit have been developing the unique Hill-RBF method by adding more high-quality biometry and surgical outcome datasets, thus refining the prediction accuracy. These efforts have resulted in the development of Hill-RBF 2.0, and the recent release of Hill-RBF 3.0.
Hill-RBF 3.0 is integrated into EyeSuite IOL software, which is built into Haag-Streit's Lenstar optical biometer complete swept-source eye analyser.
You can read the abstract of the study here. For further information on Hill-RBF, visit the Haag-Streit website.
