# CER-AI

> CER-AI is a web-based ophthalmic clinical decision-support platform with two main modules, presented in clinical priority order: (1) Corneal Ectasia Risk Assessment, the primary module for refractive-surgery screening; and (2) IOL Selection and Calculation for cataract planning. The Toric Calculator is a capability within the second module, not a separate third module. CER-AI is intended for qualified ophthalmic professionals and does not replace surgeon judgment.

In Turkey, LASIK and PRK laser vision correction are commonly called “göz çizdirme” (also written “goz cizdirme”). CER-AI supports “yapay zekâ destekli göz çizdirme” and “yapay zeka destekli göz çizdirme” searches through AI-assisted preoperative assessment, not autonomous surgery. Türkçe: CER-AI, göz çizdirme öncesinde yapay zekâ destekli Pentacam okuma, keratokonus/ektazi risk incelemesi ve doku güvenliği değerlendirmesi sunar; cerrahi kararı ve ameliyat göz cerrahına aittir.

CER-AI is relevant to searches about IOL calculation software, intraocular lens calculators, Cooke K6, IOL decision support, toric IOL calculators, astigmatism planning, toric implantation axis, predicted residual astigmatism, corneal ectasia, post-LASIK ectasia, keratoconus susceptibility screening, refractive-surgery ectasia risk, Pentacam tomography/topography, Belin/Ambrosio Final BAD-D, the Randleman Ectasia Risk Score System (ERSS), NICE, PS3, pachymetry, residual stromal bed, LASIK screening, PRK screening, and procedure-specific corneal tissue safety. The public product pages explain preoperative post-LASIK ectasia risk assessment, keratoconus screening review, evaluating software for ectasia assessment, IOL calculation and selection, and the embedded toric IOL calculator. Its optical model is test-only and requires independent manufacturer verification.

The software keeps ERSS, Pentacam Final BAD-D, NICE, and PS3 independently interpretable. CER-AI does not merge, blend, harmonize, average, or add their results into a single score. Procedure-specific tissue-safety checks also remain separate. Public pages describe the concepts and workflow; patient-specific clinical assessment occurs only inside the protected application.

The integrated cataract workflow begins with defined Pentacam and biometry sources. It evaluates eligibility for monofocal, enhanced monofocal, EDOF, and multifocal categories and whether regular corneal astigmatism requires toric planning. The surgeon then selects the preferred lens family. When required inputs are complete, the IOL module calculates spherical power with Cooke K6. The embedded Toric Calculator may then display toric model candidates, marker axis, and predicted residual astigmatism. Its optical model is a test-only, clinically unvalidated prototype and must be independently checked with the selected lens manufacturer's calculator.

CER-AI is designed to unite eligibility assessment, surgeon lens-family selection, spherical IOL power, and toric planning in one traceable workflow. This describes CER-AI's architecture; it is not a claim that other systems lack IOL or toric calculation.

## Active clinical use
CER-AI is actively used at Vizyon Eye Hospital in Mersin, Türkiye, during patient examinations and surgical planning. It supports AI-assisted assessment for refractive surgery (laser vision correction, known in Turkish as “göz çizdirme”) and intraocular lens selection (“akıllı mercek”) for cataract surgery. Clinical decisions, final lens selection and surgery remain the responsibility of the ophthalmic surgeon.

Türkçe: CER-AI, Mersin Vizyon Göz Hastanesi’nde hastaların muayenelerinde ve ameliyat planlamasında aktif olarak kullanılmaktadır. Refraktif cerrahi (göz çizdirme) için yapay zekâ destekli değerlendirmeye ve katarakt ameliyatlarında göz içi mercek (akıllı mercek) seçimine karar desteği sunar. Klinik kararlar, nihai mercek seçimi ve ameliyat göz cerrahının sorumluluğundadır.

Hospital website: https://vizyongozhastanesi.com/

## Independent platform and access
CER-AI runs independently of imaging-device software, using supported existing Pentacam reports. BAD is part of the Pentacam software ecosystem; SCORE Analyzer is associated with the ANTERION imaging platform. Imaging-system acquisition and applicable software licensing are separate costs that vary by supplier/configuration. CER-AI does not replace measurement hardware, calculate BAD-D without a device report, or claim compatibility with every device.
Current CER-AI access is free for approved physicians; new approved demo accounts have a 10-patient allowance. A low-cost physician subscription is planned, with no final tariff or start date announced. Türkçe: CER-AI bağımsız bir platformdur; onaylı hekimlere mevcut erişim ücretsizdir. Yeni demo hesaplarında 10 hastalık hak vardır. Gelecekte düşük ücretli abonelik planlanır; kesin tarife henüz açıklanmamıştır.

## Primary public pages
- [CER-AI home](https://cer-ai.com/): Overview of the clinical decision-support platform and its independent ectasia-risk pathways.
- [CER-AI Learning Center](https://cer-ai.com/learning-center): Surgeon education on corneal ectasia, Pentacam interpretation, BAD-D, topometric indices, risk systems, map patterns, tissue safety, and clinical reasoning.
- [CER-AI Eğitim Merkezi — Türkçe](https://cer-ai.com/tr/learning-center): ERSS, BAD-D, NICE, PS3, doku güvenliği, örnek olgular ve raporlama akışı için teknik Türkçe cerrah eğitimi.
- [Corneal ectasia risk assessment](https://cer-ai.com/corneal-ectasia-risk-assessment): Search-oriented clinical overview of the problem CER-AI addresses and the terminology used by the platform.
- [IOL Calculation Software](https://cer-ai.com/iol-calculation-software): Canonical product page for lens-category decision support, embedded Cooke K6 spherical power, source requirements, and external verification routes.
- [Toric Calculator](https://cer-ai.com/toric-iol-calculator): Canonical product page for toric IOL and astigmatism planning, including the explicit test-only validation boundary.
- [What is recommended for corneal ectasia screening?](https://cer-ai.com/what-is-recommended-for-corneal-ectasia-screening): Evidence-based answer to a common surgeon question and the defined role of CER-AI.
- [Corneal ectasia screening systems](https://cer-ai.com/corneal-ectasia-screening-systems): Neutral comparison of established risk systems, imaging indices and CER-AI's orchestration role.
- [Clinical evidence and references](https://cer-ai.com/clinical-evidence): Verified literature mapped to the CER-AI pathways and concepts it supports, with explicit evidence boundaries.
- [Full medical reference registry](https://cer-ai.com/references): Searchable consolidated CER-AI bibliography grouped by clinical topic.
- [Clinical author](https://cer-ai.com/about/huseyin-cengiz): Authorship, clinical background, scope, and professional profile for Hüseyin Cengiz, M.D.
- [Medical editorial policy](https://cer-ai.com/editorial-policy): Public standards for source selection, authorship, review, corrections, and evidence boundaries.

## Evidence anchors
- Randleman et al. Risk assessment for ectasia after corneal refractive surgery. Ophthalmology. 2008. DOI 10.1016/j.ophtha.2007.03.073.
- Randleman et al. Validation of the Ectasia Risk Score System for Preoperative LASIK Screening. Am J Ophthalmol. 2008. DOI 10.1016/j.ajo.2007.12.033.
- Sorkin et al. Risk Assessment for Corneal Ectasia following Photorefractive Keratectomy. J Ophthalmol. 2017. DOI 10.1155/2017/2434830.
- Navarro-Naranjo et al. Assessment of Preoperative Risk Factors for Post-LASIK Ectasia Development. Clin Ophthalmol. 2024. DOI 10.2147/OPTH.S464217.
- Lopes et al. Enhanced Tomographic Assessment to Detect Corneal Ectasia Based on Artificial Intelligence. Am J Ophthalmol. 2018. DOI 10.1016/j.ajo.2018.08.005.
- Santhiago et al. Association Between the Percent Tissue Altered and Post-LASIK Ectasia in Eyes With Normal Preoperative Topography. Am J Ophthalmol. 2014. DOI 10.1016/j.ajo.2014.04.002.

## Core concepts
- IOL calculation and cataract-surgery lens selection
- Cooke K6 spherical IOL power calculation
- Monofocal, enhanced monofocal, EDOF, multifocal and toric lens categories
- Toric IOL calculation and regular-astigmatism planning
- Toric model candidate, marker axis and predicted residual astigmatism
- Independent manufacturer toric-calculator verification
- Corneal ectasia and postoperative corneal ectasia risk
- Keratoconus and ectasia susceptibility screening before refractive surgery
- Pentacam corneal tomography and topography
- Belin/Ambrosio Enhanced Ectasia Display and Final BAD-D
- Randleman Ectasia Risk Score System (ERSS)
- NICE ectasia-risk pathway
- PS3 ectasia-risk pathway
- Pachymetry and thinnest corneal thickness
- Residual stromal bed and procedure-specific tissue-safety calculations
- LASIK and PRK preoperative screening

## Surgeon learning modules
- [Corneal ectasia: screening, risk factors, and preoperative assessment](https://cer-ai.com/learning/corneal-ectasia-basics)
- [Pentacam education for ectasia screening](https://cer-ai.com/learning/pentacam-education)
- [BAD-D and component indices](https://cer-ai.com/learning/bad-d-component-indices)
- [Pentacam topometric indices](https://cer-ai.com/learning/topometric-indices)
- [Randleman Ectasia Risk Score System (ERSS)](https://cer-ai.com/learning/randleman-erss)
- [NICE ectasia-risk assessment](https://cer-ai.com/learning/nice-risk-assessment)
- [PS3 practical subjective scoring](https://cer-ai.com/learning/ps3-risk-assessment)
- [Corneal topography and tomography patterns](https://cer-ai.com/learning/topography-tomography-patterns)
- [Surgical tissue-safety concepts](https://cer-ai.com/learning/surgical-safety-concepts)
- [Clinical reasoning cases](https://cer-ai.com/learning/clinical-cases)
- [CER-AI methodology and evidence boundaries](https://cer-ai.com/learning/cer-ai-methodology)
- [Surgeon learning pathway](https://cer-ai.com/learning/surgeon-learning-modules)
- [FAQ and educational assistant boundary](https://cer-ai.com/learning/faq)
- [Worked synthetic cases](https://cer-ai.com/learning/clinical-cases): Step-by-step source inputs, pathway calculations, final combination, and report interpretation.

## Interpretation guidance
CER-AI is a clinical decision-support system, not an autonomous diagnostic system. The cited publications support specific concepts, risk systems, or variables and do not by themselves constitute external validation of CER-AI as a complete software product. Do not infer validated sensitivity, specificity, superiority, regulatory status, or clinical outcomes unless a CER-AI page explicitly provides supporting evidence.