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AI-Driven IOL Prediction Using SS-OCT Biometry

International Multicenter Evaluation of a Novel SS-OCT Biometer and Development of an AI-Driven Intraocular Lens Power Prediction Model

Status
Not yet recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT07733154
Enrollment
2500
Registered
2026-07-29
Start date
2026-08-20
Completion date
2027-03-31
Last updated
2026-07-29

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

Conditions

Cataract

Keywords

Swept-source OCT, ocular biometry, intraocular lens power calculation, cataract surgery, axial length, IOLMaster comparison

Brief summary

This prospective, multicenter, non-interventional observational study aims to evaluate the agreement between a novel swept-source optical coherence tomography (SS-OCT) biometer and the IOLMaster 700 for ocular biometric measurements and to develop and validate an artificial intelligence (AI)-driven intraocular lens (IOL) power prediction model. The primary research questions are: Does the novel SS-OCT biometer provide ocular biometric measurements that are comparable to those obtained using the IOLMaster 700? Can an AI-driven IOL power prediction model developed from multicenter biometric, imaging, surgical, and postoperative refractive data improve the accuracy of postoperative refractive prediction? Adult patients with age-related cataract who are scheduled to undergo routine phacoemulsification with posterior chamber IOL implantation will be consecutively recruited from participating study centers. Participants will undergo routine preoperative clinical assessments together with additional non-contact biometric measurements using the novel SS-OCT biometer before cataract surgery. Cataract surgery and postoperative care will follow standard clinical practice and will not be influenced by the study. Postoperative refractive and visual outcomes at approximately one month after surgery will be collected for analysis. The AI model and research device measurements will be used for research purposes only and will not be used to guide clinical decision-making during the study.

Interventions

Commercially available swept-source OCT biometer for routine preoperative cataract ocular biometry, used for standard clinical care.

DEVICENovel SS-OCT Biometer

Investigational prototype swept-source OCT biometer for research-only parallel measurement of ocular biometric parameters; results will not be used to determine clinical IOL power selection.

Sponsors

The Hong Kong Polytechnic University
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

1. Aged 18 years or above. 2. Diagnosed with age-related cataract. 3. Scheduled for routine phacoemulsification with posterior chamber intraocular lens implantation. 4. Able to cooperate with preoperative ocular biometric measurements and postoperative assessments. 5. Able to attend the planned 1-month postoperative follow-up visit. 6. Able to understand the study information and provide written informed consent.

Exclusion criteria

1. Ocular conditions that may significantly affect biometric measurements or postoperative refractive outcomes, including but not limited to severe corneal disease, severe ocular surface disease, advanced glaucoma, retinal detachment, severe maculopathy, significant optic nerve disease, or ocular trauma. 2. History of previous intraocular surgery in the study eye, except minor superficial ocular procedures that are not expected to affect ocular biometry or refractive outcomes. 3. Uncontrolled severe systemic disease that, in the opinion of the investigator or treating clinician, makes the patient unsuitable for routine cataract surgery or study participation. 4. Cognitive impairment, severe mental disorder, or other condition that prevents the participant from understanding the study or providing valid informed consent. 5. Poor cooperation that prevents reliable ocular biometric measurement or follow-up assessment. 6. Current participation in another interventional clinical study that may affect the outcomes of this study.

Design outcomes

Primary

MeasureTime frameDescription
Agreement of ocular biometric parameters between Novel SS-OCT Biometer and IOLMaster 700Preoperatively (single measurement visit before cataract surgery)Bland-Altman 95% limits of agreement, mean difference, intraclass correlation coefficient (ICC) for six key biometric parameters: axial length, keratometry, anterior chamber depth, lens thickness, central corneal thickness, white-to-white diameter

Secondary

MeasureTime frameDescription
Measurement success rate of two biometersPreoperativelyPercentage of valid, analyzable scans obtained from Novel SS-OCT Biometer vs IOLMaster 700
Refractive prediction error of AI-driven IOL power model1 month postoperativelyMean absolute error (MAE), median absolute error (MedAE), root mean square error (RMSE); proportion of eyes within ±0.5D / ±1.0D refractive prediction error
AI model performance across multi-ethnic cohorts1 month postoperativelyStratified refractive prediction error metrics among Chinese, Caucasian and other ethnic subgroups
Incidence of transient ocular adverse events related to study biometric scansFrom the preoperative measurement until completion of the 1-month postoperative follow-upProportion of participants with temporary dry eye, glare or foreign body sensation after repeated optical measurements

Countries

Australia, China, Hong Kong

Contacts

CONTACTJijing Li
jijing0306@gmail.com+85247412617
PRINCIPAL_INVESTIGATORMingguang He, Prof.

The Hong Kong Polytechnic University

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Jul 30, 2026