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Predicting ICL Safety in Keratoconus patients using Modern AI Tools Versus Traditional Methods

Predictive accuracy of Lasso regression versus traditional models for ICL vault in keratoconus patients. - nil

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2026/05/110315
Enrollment
69
Registered
2026-05-10
Start date
Unknown
Completion date
Unknown
Last updated
2026-06-01

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Health Condition 1: H526- Other disorders of refraction

Interventions

Intervention1: Nil: Nil

Sponsors

NETHRADHAMA SCHOOL OF OPTOMETRY
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: Age 18 years to 40 years Keratoconus ACD more than 2.8 mm Scotopic pupil Post C3R stable cornea

Exclusion criteria

Exclusion criteria: Corneal pathology other than keratoconus Post LASIK Hyperopia Cataract Glaucoma

Design outcomes

Primary

MeasureTime frame
To evaluate the accuracy of postoperative vault prediction using the LASSO based formula in keratoconus patients undergoing ICL implantation.Timepoint: base line and post 3 months of surgery—

Secondary

MeasureTime frame
To compare the predictive performance of the LASSO formula with the conventional STAAR ICL calculator in terms of vault prediction error.Timepoint: baseline & post three months—

Countries

India

Contacts

Public ContactAYSHA MUNEERA

NETHRADHAMA SCHOOL OF OPTOMETRY

viceprincipalnso@gmail.com9591603650

Outcome results

None listed

Source: CTRI (via WHO ICTRP) · Data processed: Jun 11, 2026