THE RIGHT LENS BEGINS WITH THE TRUE POWER OF THE CORNEA.

Most refractive surprises after cataract surgery start with one wrong assumption: that a single keratometry number tells the truth. RLES AI replaces that assumption with cross-validation — and then calibrates the whole process to your own hands.

TRUE CORNEAL POWER ENGINE: FOUR INDEPENDENT TIERS

The cornea’s real power is measured four independent ways. There is no simple averaging — the tiers are compared, and disagreement is the finding.

On irregular corneas, zonal analysis (1–4 mm) reports central instability rather than hiding it behind one number. Double-K discipline is enforced on post-refractive eyes: true corneal power is used for refraction, never blindly for lens-position prediction.

CANDIDACY, RISK AND FORMULAS

• IOL candidacy at class level — monofocal, enhanced monofocal, EDOF, trifocal, toric — with reasoned elimination: dry eye, higher-order aberrations, angle alpha/kappa, pupil, macular OCT as a premium prerequisite; total corneal astigmatism including the posterior surface drives the toric decision
• Surgical risk profile: pseudoexfoliation, endothelial count, shallow chamber, IFIS medication history, white cataract, axial-length extremes, only eyes; RLE in young axial myopes requires retinal evaluation
• Formula priority per eye type — modern formulas for virgin eyes;^[2] Barrett True-K,^[1] Haigis-L, Shammas pathways post-laser; dedicated short/long/keratoconic routes — plus a "values to enter in the calculator" block with the verified input set
• An IOLCon-verified constant catalogue of 54 lens models across the major manufacturers, with model-specific caution notes

WHY THE SCREEN MATTERS: RISK IS NOT A CONSTANT

The largest published audit of intraoperative cataract complications — 55,567 operations across twelve NHS trusts — put the overall rate of posterior capsule rupture or vitreous loss at 1.92%. The finding underneath that average is the one that shapes planning: the predicted probability for an individual operation ranged from under 0.75% to over 75%, and the authors concluded that case-mix is a major determinant of intraoperative complication probability.^[5] Risk, in other words, is largely set before the patient reaches the table — by a data set that can be collected at the desk.

All nine patient-side indicators from that study sit in the RLES AI screening set, and each is asked in the same order in every case. Three further variables in the same paper — age, sex and surgeon grade — are not screening items and RLES AI does not use them: they describe who the patient and the operator are, not a condition anyone can act on before surgery.

The accuracy side of the same problem is measured just as plainly. In 17,056 procedures from the Swedish National Cataract Register, emmetropia was the target in 78.1% of eyes but was reached in 55% of those planned for it, with a mean absolute biometry prediction error of 0.402 ± 0.338 D — and the authors identified remaining corneal astigmatism and prediction error in astigmatic and ametropic eyes as the factors precluding it.^[6] Both are input problems, which is precisely what the True Corneal Power Engine and the toric decision path are built to interrogate.

CALIBRATED TO YOUR HANDS

Log your lens choice and one-month outcome with a short message: prediction error accumulates per lens model, your own post-op lens positions build a measured personal C-constant, and your own incisions build a personal SIA^[4] — all statistically gated, with retrospective bulk upload to seed the calibration from day one. Device-agnostic by design: the engine adapts to whatever data tiers your biometer and tomograph supply, and a missing tier is named, never assumed.

FREQUENTLY ASKED QUESTIONS