Evaluation of Reliability of Formulas for Intraocular Lens Power Calculation After Hyperopic Refractive Surgery

Journal of Clinical Medicine, Journal Year: 2025, Volume and Issue: 14(6), P. 1990 - 1990

Published: March 15, 2025

Background: We evaluate the accuracy of intraocular lens (IOL) power calculation in following formulas—Barrett True-K No History (BTKNH), EVO 2.0 Post-Hyperopic LASIK/PRK (EVO 2.0), Haigis-L, Pearl-DGS, and Shammas (SF)—with patients who have undergone cataract surgery at Eye Unit University Campania Luigi Vanvitelli, Naples, Italy, had prior hyperopic laser refractive surgery. Methods: A monocentric, retrospective, comparative study, including charts previous surgery, was retrospectively reviewed. Patients with no other ocular or systemic disease which might interfere visual acuity results operative complications combined were enrolled. The mean absolute prediction error (MAE) calculated for each formula compared. Subgroup analysis based on axial length keratometry performed. Results: total 107 (107 eyes) included. MAE SF provided less accurate (p < 0.05) when compared to both BTKNH formulas. obtained using 2.0, showed significant differences. Conclusions: selected formulas shows clear advantage one specific standard cases, but eyes where it is mandatory reach target refraction, should be avoided.

Language: Английский

Artificial intelligence in ADHD: a global perspective on research hotspots, trends and clinical applications

Frontiers in Human Neuroscience, Journal Year: 2025, Volume and Issue: 19

Published: April 10, 2025

Artificial Intelligence (AI), has garnered attention in research on deficit hyperactivity disorder (ADHD). In the future, AI may have clinical applications ADHD, particularly facilitating objective diagnosis and classification of ADHD. This study aimed to comprehensively analyze current status frontiers identifying hotspots trends guide future directions promote advancements this field. Articles field ADHD were from Web Science Core Collection (WoSCC) database. Analysis was conducted using CiteSpace 6.3.R.1. Additionally, high-impact articles analyzed. A total 342 50 countries regions included. The United States led with 103 articles, having highest H-index 21, followed by China 69 England 34 articles. State University New York System produced most (11), Frontiers Psychiatry had (12). Burst keywords 2022-2024 included "diagnosis," "network," "attention disorder" "artificial intelligence." technologies become a prominent topic research, States, China, leading influence. influential institution, while stood out as key journal. Utilizing networks other for diagnosing represents trends, potentially offering indicators

Language: Английский