Corneal ectasia: screening, risk factors, and preoperative assessment
A surgeon-focused guide to corneal ectasia, keratoconus susceptibility, postoperative ectasia, topography, tomography, and preoperative refractive-surgery screening.
Open moduleSurgeon education
CER-AI Learning Center
A structured, evidence-linked technical guide to corneal ectasia screening for ophthalmologists and refractive surgeons.
Core boundaryEducation explains the science; the CER-AI application performs the structured assessment.
Curriculum
Learn by clinical question
Each module names its evidence limits and links to primary literature or manufacturer documentation. No educational page calculates a patient result.
Pentacam education for ectasia screening
How refractive surgeons can organize Pentacam curvature, elevation, pachymetry, and quality information without interchanging sources.
Open moduleBAD-D and component indices
An evidence-bounded guide to the Belin/Ambrósio Enhanced Ectasia Display, Final BAD-D, and its component deviation indices.
Open modulePentacam topometric indices
A practical guide to ISV, IVA, KI, CKI, IHA, IHD, and Rmin as pattern descriptors rather than stand-alone diagnoses.
Open moduleRandleman Ectasia Risk Score System (ERSS)
The variables, evidence base, scope, and limitations of the Randleman ERSS in preoperative LASIK screening.
Open moduleNICE ectasia-risk assessment
A careful introduction to the NICE cumulative risk concept, its elevation-tomography basis, and CER-AI's explicit implementation boundary.
Open modulePS3 practical subjective scoring
A factor-by-factor guide to the Practical Subjective Scoring System and the procedure-specific way CER-AI evaluates its automated findings.
Open moduleCorneal topography and tomography patterns
How to describe asymmetric bow-tie, inferior or superior steepening, skewed axes, elevation, and pachymetric patterns without overcalling a diagnosis.
Open moduleSurgical tissue-safety concepts
Educational review of residual stromal bed, percent tissue altered, ablation depth, flap thickness, and why safety checks remain separate from ectasia scores.
Open moduleClinical reasoning cases
De-identified teaching archetypes showing how surgeons can reconcile concordant, discordant, incomplete, and procedure-dependent ectasia-risk evidence.
Open moduleCER-AI methodology and evidence boundaries
How CER-AI separates educational content, structured assessment, source provenance, independent risk pathways, and procedural safety.
Open moduleSurgeon learning pathway
A structured sequence for learning corneal ectasia screening, Pentacam interpretation, risk systems, and procedure-specific safety.
Open modulePhysician presentation
CER-AI presentation examples
Review the program logic, canonical data sources, independent risk channels, and procedure-specific decision workflow in a 20-slide deck.
Worked examples
Synthetic cases and report flow
Follow how source inputs become independent risk pathways, safety checks, and a structured report.
Case 1: concordant low-risk LASIK screen
Synthetic example in which all four risk pathways and independent tissue-safety checks are complete.
Open worked caseCase 2: two independent caution pathways
Synthetic LASIK example showing why CER-AI does not hide discordance inside one average score.
Open worked caseCase 3: SRAX-driven defer
Synthetic case in which signed I-S establishes ERSS inferior steepening while confirmed SRAX >20° independently creates a PS3 High factor.
Open worked caseCase 4: decision-critical source missing
Synthetic example showing why missing tomography is not interpreted as normal.
Open worked caseEvidence library
Trace statements to their sources
Use the clinical evidence map for pathway-level interpretation and the searchable registry for the complete bibliography.
Questions
FAQ and educational assistant boundary
Read concise answers and see how the planned assistant remains separated from patient-specific assessment.