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AI could replace eye drops for measuring nearsightedness

NCT ID NCT07690813

Diagnosis Sponsor: Second Affiliated Hospital of Nanchang University Source: ClinicalTrials.gov ↗

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now This study
This trial is taking on new participants right now.
Not yet recruiting
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing
Running, but no longer taking on new participants.
Completed
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

First seen Jul 08, 2026 · Last updated Sep 21, 2026 · Updated 3 times

Summary

This study tests a machine learning model that predicts how much nearsightedness a person has without using dilating eye drops. The model uses standard eye measurements like autorefraction and corneal shape. If accurate, it could make eye exams quicker and more comfortable for adults with myopia.

What this could mean

Our plain-language read of the trial. This is informational only, not medical advice or a prediction.

Active substance
Machine learning model for predicting cycloplegic refraction
What this could lead to
If successful, this could make eye exams faster and more comfortable by reducing the need for dilating drops, while still accurately identifying patients who need them.
What could go wrong
The model may not be accurate enough for all patients, and it is tested only in adults with specific degrees of myopia, so results may not apply to everyone.

This is an AI summary of the original study and may miss details. Read our disclaimer.

Study facts

What this study's own registry entry says, in plain language.

Participants

About 2,500 people

The number the study aims to enrol. It can still change while the study runs.

Started

Oct 2023

Expected to finish

Nov 2026

An estimate. End dates often move.

Lead sponsor

Other sponsor

The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.

Who can take part

This study's own entry requirements. Only the study team can say for certain whether you qualify.

Who is studied

Each subject underwent a comprehensive preoperative examination, including cycloplegic and non-cycloplegic refractions, Pentacam, etc.

Ages

18 to 47 years

Sex

Anyone

Healthy volunteers

Not accepted

This study is not open to healthy volunteers. The entry requirements below say who it is open to.

Show the full entry requirements

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

Inclusion Criteria: 1. Age 18 to 60 years, of either sex; 2. Spherical equivalent between -0.50 diopters and -10.00 diopters, with myopia in one or both eyes, and with cylinder of 4.00 diopters or less; 3. Best-corrected visual acuity of 20/25 or better in each eye; 4. Clear cornea, no keratoconus, corneal scarring, or other pathologies; clear lens; 5. Intraocular pressure of 21 mmHg or less, with no history of glaucoma; 6. No history of ocular surgery, especially corneal refractive surgery or cataract surgery; 7. Time interval between non-cycloplegic refraction and cycloplegic refraction of 7 days or less, with complete data. Exclusion Criteria: 1. Incomplete clinical data to support the diagnosis; 2. Ocular conditions such as subclinical keratoconus, keratoconus, or moderate-to-severe corneal haze or leukoma; 3. Allergy or contraindication to cycloplegic agents; 4. Refusal to participate in the study.

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Conditions

The condition(s) this trial relates to.

eye accommodation disease myopia refractive error

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

Accommodation Cycloplegic refraction Refractive errors

How to take part

Only the study team decides who joins. These are the ways to reach them.

  1. The places running it

    1 site. The list below names each one and where it is.

  2. The official record

    ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.

    Open the record ↗

  3. A doctor treating you

    A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.

Contacts and locations

Locations

  • The Second Affiliated Hospital of Nanchang University, Nanchang, JiangXi 330000

    RECRUITING

    Jiangxi, China

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