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Construction of an intraocular lens type optimization model based on machine learning

Construction of an intraocular lens type optimization model based on machine learning

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
ChiCTR
Registry ID
ChiCTR2400080878
Enrollment
Unknown
Registered
2024-02-13
Start date
2024-02-19
Completion date
Unknown
Last updated
2024-02-19

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

Conditions

cataract

Interventions

Questionnaire group:Fill out the IOL Preference Questionnaire before the preoperative interview
control group:The IOL preference questionnaire was not filled out before surgery, and the IOL was selected only based on the conversation

Sponsors

Fujian Provincial Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 100 Years

Inclusion criteria

Inclusion criteria: Diagnosed as cataract; age>18 years

Exclusion criteria

Exclusion criteria: History of ocular trauma or intraocular surgery; corneal lesions affecting vision; fundus disease affecting vision; corneal irregular astigmatism; History of ocular diseases such as glaucoma and uveitis; Mentally ill; Paranoid and unable to understand the questionnaire.

Design outcomes

Primary

MeasureTime frame
Accuracy;Vision related quality of life questionnaire;Visual satisfaction;

Secondary

MeasureTime frame
Precision;Recall;F1-score;Area under ROC curve;Point spread function (PSF);Modulation transfer function (MTF);Proportion of each IOL type;

Countries

China

Contacts

Public ContactWenjie Wu

Fujian Provincial Hospital, Fuzhou, Fujian

wenjie_wu@foxmail.com+86 135 9908 6031

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026