Transparency and medical trust
Medical editorial and evidence policy
Standards for CER-AI's public educational and product-description pages.
Audience and purpose
CER-AI's public clinical material is written for ophthalmologists and refractive surgeons. It explains corneal ectasia screening concepts, named risk systems, Pentacam source fields, tissue-safety concepts and the limits of the software. It is educational information, not patient-specific advice.
Clinical authorship and review
Public clinical content is authored or clinically reviewed by Hüseyin Cengiz, M.D., ophthalmic surgeon and developer of CER-AI. Pages identify the responsible author, review date or software version when that context affects interpretation.
Source selection
Claims are anchored to peer-reviewed medical literature, original descriptions of named risk systems, systematic or major clinical reviews, and manufacturer documentation when a statement concerns a device display or field definition. The source type and its limitations are considered; a manufacturer document is not treated as independent clinical validation.
Evidence boundaries
Evidence supporting a component, index, threshold or named clinical framework does not automatically validate CER-AI as a complete software product. CER-AI does not claim diagnostic sensitivity, specificity, superiority, regulatory authorization or improved patient outcomes unless CER-AI-specific evidence supporting that exact claim is explicitly cited.
Artificial intelligence
AI assists with transcription from supplied Pentacam images. Clinical classifications and tissue-safety calculations are separately implemented in a rule-based assessment engine. Public pages do not describe AI transcription as an autonomous diagnosis or as a substitute for source review and surgeon confirmation.
Updates and corrections
Material is updated when a cited source, documented software behavior, terminology or evidence boundary changes. Decision-relevant corrections are made at the authoritative source in the application or public-content layer rather than being concealed by report-side wording. Sitemap modification dates must reflect genuine content changes.
Separation from patient assessment
The public website and Learning Center do not calculate patient results. Patient-specific assessment remains inside the protected clinical application. Public-content changes do not alter the canonical clinical engine.