ReviewJournal of clinical medicine2024
A Review of Intraocular Lens Power Calculation Formulas Based on Artificial Intelligence.
Review in Journal of clinical medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
26 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Comparing the accuracy of intraocular lens power calculation formulas using artificial intelligence and traditional formulas in highly myopic patients: a meta-analysis.International ophthalmology · 2024Pooled it
- Postoperative Intraocular Lens Position and Refractive Stability in Cataract Surgery: Influence of Target Refraction and IOL Design.Medicina (Kaunas, Lithuania) · 2026Observational
- Advances in cataract surgery: is a new era on the horizon?Current opinion in ophthalmology · 2026Review
- [Calculating IOL power - principles, development and current challenges].Die Ophthalmologie · 2026Review
- Comparison of Prediction Accuracy of Six Toric IOL Power Calculation Formulas, Including Four Available on the ESCRS Online Calculator.Clinical ophthalmology (Auckland, N.Z.) · 2026Article
- Refractive Surprises After Cataract Surgery: Identification and Management in Optometric Practice- A Comprehensive Review.Clinical optometry · 2026Review
- Artificial intelligence in ophthalmology: from innovation to clinical integration.Frontiers in ophthalmology · 2026Article
- Improved IOL Power Calculation With Femtosecond Laser Enhanced Refractive Outcome Prediction.Translational vision science & technology · 2025Article
- Day care and inpatient cataract patient satisfaction with in-patient services at a Jiangsu public tertiary A hospital.BMC health services research · 2025Article
- Evaluation of a Simple and Accurate Method for Intraocular Lens Constant Optimization Using Linear Interpolation.Journal of clinical medicine · 2025Article
- Does gender affect intraocular lens power calculations? A comparative analysis of formula accuracy.Journal of medicine and life · 2025Observational
- Assessing the interchangeability of keratometry measurements from four biometric devices in intraocular lens power calculations: insights into the predictive accuracy of five modern IOL formulas.BMC ophthalmology · 2025Article
- Comparative Analysis of Intraocular Lens Power Calculation Formulas (Kane, Barrett Universal II, Hill-Radial Basis Function, and Ladas Super Formula): Which One Is More Accurate?Journal of clinical medicine · 2025Article
- Stakeholder Attitudes on AI Integration in Ophthalmology.Klinische Monatsblatter fur Augenheilkunde · 2025Review
- Long-term observation of the in vivo safety of a new design of phakic refractive lens.BMC ophthalmology · 2025Article
- Prediction of Seven Artificial Intelligence-Based Intraocular Lens Power Calculation Formulas in Medium-Long Caucasian Eyes.Life (Basel, Switzerland) · 2025Article
- Artificial intelligence in ophthalmology: opportunities, challenges, and ethical considerations.Medical hypothesis, discovery & innovation ophthalmology journal · 2025Review
- Deep learning-driven approach for cataract management: towards precise identification and predictive analytics.Frontiers in cell and developmental biology · 2025Review
- Evaluating the Predictive Accuracy of an AI-Based Tool for Postoperative Vault Estimation in Phakic Intraocular Lens Implantation.Clinical ophthalmology (Auckland, N.Z.) · 2025Article
- Refractive Outcomes After Cataract Surgery-The Impact of Preoperative Visual Acuity, the Intraocular Lens Model, and the Surgeon's Experience: An Empirical Analysis of Hungarian and Kosovan Patients.Journal of clinical medicine · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe proper selection of an intraocular lens power calculation formula is an essential aspect of cataract surgery. This study evaluated the accuracy of artificial intelligence-based formulas.
designSystematic review.
methodsThis review comprises articles evaluating the exactness of artificial intelligence-based formulas published from 2017 to July 2023. The papers were identified by a literature search of various databases (Pubmed/MEDLINE, Google Scholar, Crossref, Cochrane Library, Web of Science, and SciELO) using the terms "IOL formulas", "FullMonte", "Ladas", "Hill-RBF", "PEARL-DGS", "Kane", "Karmona", "Hoffer QST", and "Nallasamy". In total, 25 peer-reviewed articles in English with the maximum sample and the largest number of compared formulas were examined.
resultsThe scores of the mean absolute error and percentage of patients within ±0.5 D and ±1.0 D were used to estimate the exactness of the formulas. In most studies the Kane formula obtained the smallest mean absolute error and the highest percentage of patients within ±0.5 D and ±1.0 D. Second place was typically achieved by the PEARL DGS formula. The limitations of the studies were also discussed.
conclusionsKane seems to be the most accurate artificial intelligence-based formula. PEARL DGS also gives very good results. Hoffer QST, Karmona, and Nallasamy are the newest, and need further evaluation.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.