CER-AI — Corneal Ectasia Risk Assessment Intelligence

CER-AI (Corneal Ectasia Risk Assessment Intelligence) is web-based clinical decision-support software for structured preoperative corneal ectasia risk assessment in refractive surgery. It helps qualified ophthalmologists and refractive surgeons review a case before LASIK, PRK or SMILE by bringing Pentacam tomography data, several independent ectasia-risk pathways and tissue-safety checks into one transparent, auditable report. A separate module supports intraocular lens (IOL) category selection. CER-AI does not replace examination or the surgeon’s judgment. Official website: cer-ai.com.

Why corneal ectasia risk assessment matters

Corneal ectasia — progressive thinning and bulging of the cornea after refractive surgery — is one of the most feared complications of laser vision correction. Careful preoperative screening for keratoconus susceptibility and for procedure-specific tissue limits is the main way to reduce this risk. CER-AI was designed to make that screening more structured, transparent and reproducible, and to help surface findings that might otherwise be overlooked.

How CER-AI evaluates a case

CER-AI does not blend the major ectasia-risk systems into a single proprietary score. Each pathway is evaluated independently, with its own inputs, interpretation and procedural consequence, so the surgeon can see where the systems agree and where they disagree:

• Randleman Ectasia Risk Score System (ERSS) — age, pachymetry, refractive magnitude, residual stromal bed and anterior topographic evidence, with component scoring kept visible.
• Belin/Ambrósio Final BAD-D — interpreted as its own Pentacam-derived tomographic risk channel.
• CER-AI-adapted NICE — a structured tomography pathway with a component-by-component audit.
• PS3 — a procedure-aware review of selected corneal, refractive, tomographic and inter-eye findings, with explicit consequences for LASIK, PRK and SMILE.

Separately from ectasia scoring, CER-AI calculates tissue and procedure safety. A reassuring ectasia score does not override a separate safety stop. Missing, conflicting and surgeon-confirmed information remains visible in the report, and decision-critical values that cannot be read reliably from an image must be entered manually — they are never silently estimated.

Clinical workflow

1. The authorized clinician signs in and selects the module: refractive surgery or IOL calculation.
2. Case information and surgeon-defined parameters are entered.
3. The required Pentacam source images are uploaded and read with AI assistance.
4. Unreadable decision-critical fields are resolved manually.
5. The independent results, reasons, alternatives and warnings are reviewed. Final responsibility remains with the surgeon.

Evidence and limits

CER-AI maps the peer-reviewed literature to the specific pathways and safety concepts it uses. These publications support individual risk systems and clinical variables; they are not presented as external validation of CER-AI as a complete software product. See CER-AI clinical evidence, the medical reference registry and the overview of corneal ectasia risk assessment.

Developer and clinical founder

CER-AI was developed by Op. Dr. Hüseyin Cengiz, ophthalmic surgeon with approximately 30 years of refractive, cataract and vitreoretinal surgical experience, co-founder and Chairman of the Board of Mersin Vizyon Eye Hospital. He defines the clinical questions the software organizes and reviews its public medical content. Clinical author profile on cer-ai.com.

Information for patients

CER-AI is a tool used only by qualified eye doctors; it is not a test that patients use themselves. Whether you are suitable for laser eye surgery is decided after a full examination and the surgeon’s evaluation. To learn more, see our laser eye surgery examination and keratoconus and cross-linking pages, or call +90 324 238 83 83.