Cataract planning should not be trapped inside one manufacturer ecosystem. PrecisionIOL is designed as a neutral layer for manual entry, scan upload, CSV parsing, and future direct device-source reconciliation.
Modern cataract planning often spans more than one measurement source: optical biometry, tomography, topography, surgeon SIA, ocular history, formula selection, and patient goals. Manufacturer ecosystems are powerful, but they tend to optimize around their own devices and lenses. A neutral planning layer should help the surgeon reconcile data across devices rather than assume that one source is always authoritative.
NIDEK's September 2026 EyeLink launch is another signal that ophthalmology data management and AI-assisted interpretation are becoming platform categories. For PrecisionIOL, the sharper lane is not generic image management; it is biometry and cataract-planning confidence: source, scan quality, raw image review, posterior cornea context, and whether the data is reliable enough to drive an IOL plan.
Biometry remains editable in the browser: axial length, K1/K2, ACD, lens thickness, pupil size, target refraction, pathologies, and counseling context.
Photograph or upload a biometer report and review extracted values before they affect formula outputs or patient counseling.
CSV import scaffolding supports common fields such as axial length, keratometry, ACD, lens thickness, and eye laterality.
Planned lanes for swept-source biometry, tomography/topography, imaging-data context, axis-confidence comparison, and posterior cornea review.
| Source | Clinical role | PrecisionIOL workflow |
|---|---|---|
| IOLMaster | Optical biometry and keratometry | Manual entry today; CSV parser scaffold; planned structured import and measurement-quality review. |
| ARGOS | Swept-source biometry | Roadmap support for exported AL, K, ACD, LT, WTW, and lens-plan reconciliation. |
| Pentacam / OCULUS | Tomography, posterior cornea, corneal regularity | Roadmap support for posterior cornea assumptions, irregularity flags, and post-refractive confidence states. |
| Cassini / topography | Anterior corneal shape and astigmatism axis | Roadmap support for axis-confidence comparison against biometer K axis and toric planning outputs. |
| Manual entry | Universal fallback and surgeon control | Always available; every imported value should remain visible, editable, and documented. |
The goal is not just faster data entry. The more important clinical value is surfacing disagreement before a lens is chosen. PrecisionIOL’s direction is to show whether sources agree on axial length, mean K, cylinder magnitude, astigmatism axis, posterior cornea assumptions, and formula spread.
Automated optical biometry can fail when the device identifies the wrong ocular structure. A 2026 Clinical Ophthalmology study in eyes with iris-claw phakic IOLs found that manual review and correction of raw B-scan images restored ACD measurements closer to Pentacam values, and the correction changed hypothetical IOL power by at least 0.50 D in 7 of 17 affected eyes.
For PrecisionIOL, this supports a simple product principle: imported measurements should arrive with provenance, editability, and a confidence state. The planning record should make the user ask, "Do I trust this input?" before asking, "Which formula output do I trust?"
PrecisionIOL should describe this as clinical decision support: import, review, compare, document, and export. It should not claim autonomous diagnosis, autonomous treatment selection, or hidden device control. The surgeon remains responsible for validating measurement quality, choosing formulas, selecting lens models, and verifying final surgical plans.
Start with manual entry or scan upload today, then document formula spread, toric confidence, ocular history, and counseling rationale in one workflow.
Open IOL Planner