https://www.selleckchem.com/products/gsk583.html 983 for the internal dataset; 0.977 for the external dataset). 75.0% (internal dataset) and 93.5% (external dataset) of the automatic cortical grades had an absolute prediction error of ≤ 1.0, with AUCs of 0.855 and 0.795 for referral, respectively. Good consistency was observed between automatic and manual grading when both nuclear and cortical cataracts were evaluated. However, automatic grading of posterior subcapsular cataracts was impractical. The AI program proposed in this study shows robust grading and diagnostic performance for both nuclear and cortical cataracts, based on LOCSIII. The AI program proposed in this study shows robust grading and diagnostic performance for both nuclear and cortical cataracts, based on LOCSIII. To evaluate refractive outcomes for the Clareon® monofocal IOL in terms of achieved target refraction for the ORA® Intraoperative Wavefront Aberrometry device (Alcon Laboratories,Inc.) and preoperative noncontact biometry. University Eye Clinic Maastricht, Maastricht University Medical Center+, the Netherlands. Prospective observational clinical trial. Patients with bilateral age-related cataracts undergoing phacoemulsification, either by delayed sequential surgery or on the same day, were included in the study. Exclusion criteria were an increased risk of refractive surprise or complicated surgery. Implanted IOL power was based on noncontact optical biometry data using the Barrett Universal II formula (BU-II), optimized for the Clareon®IOL. Postoperative subjective refraction was measured four to six weeks after surgery. Catquest-9SF questionnaires were completed preoperatively and three months after surgery. One hundred eyes (51 patients) were included. The percentage of eyes within 1.0D, 0.75D, 0compared to the BU-II formula when implanting the Clareon®IOL. However, prediction accuracy of ORA improved significantly after global optimization. Therefore, further intraoperative measurement