Origin of the concept

NICE was proposed as a cumulative ectasia-risk index based on elevation-tomography variables for preoperative LASIK screening. The original academic work and later published clarification should be read together when evaluating its definitions and clinical scope.

Why implementation details matter

A named risk system is reproducible only when its input definitions, source displays, units, cut points, point assignments, and missing-data behavior are explicit. Substituting a different elevation location or a similarly named Pentacam field changes the implemented method.

Independent interpretation

NICE and ERSS examine overlapping clinical concerns through different variable structures. Agreement may reinforce concern; disagreement should prompt source and pattern review. Their scores should not be added together unless a separately validated method explicitly defines such a combination.

CER-AI methodology boundary

CER-AI labels its implementation as CER-AI-adapted NICE and displays the component audit separately. This educational page explains the source literature; it does not publish or alter the application's current clinical rules.

CER-AI-adapted NICE component scoring

Input1 point2 points3 points
K2<45 D45–47 D>47 D
Central pachymetry>520 µm500–520 µm<500 µm
B.Ele.Th<=15.5 µm>15.5 to <18 µm>=18 µm
Signed I-S<1.00 D1.00–1.40 D>1.40 D

All four source-locked numeric inputs are required. Out-of-range or missing data make NICE incomplete rather than favorable.

From NICE total to CER-AI pathway result

TotalCategoryCER-AI result
4No NICE escalationPASS
5–8CautionCAUTION
>=9Hard stopSTOP-DEFER

NICE remains independent; its points are never added to ERSS or PS3.

Selected sources

  1. Navarro Naranjo, Universidad del Rosario 2016
  2. Navarro-Naranjo et al., Clinical Ophthalmology 2024

See the complete CER-AI medical reference registry for broader context.