Prediction of Postoperative Visual Acuity in Cataract Patients Using a Macular Optical Coherence Tomography-based Deep Learning Method
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The purpose of this study is to collect the macular OCT images and preoperative and postoperative visual acuity of cataract patients who had been operated in the eye center of the Second Affiliated Hospital of Zhejiang University Medical College, and to train a model that can relatively accurately predict the postoperative visual acuity of patients by deep learing.
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Layout table for eligibility information
Ages Eligible for Study:
50 Years to 90 Years (Adult, Older Adult)
Sexes Eligible for Study:
Accepts Healthy Volunteers:
Cataract surgery was performed in ophthalmic hospital affiliated to Medical College of Zhejiang University
Senile cataract patients, with or without macular disease, the impact of cataract on vision has affected the daily life of patients.
Glasses can obviously improve eyesight
In addition to macular disease, combined with other eye diseases that seriously affect vision, resulting in no significant improvement in postoperative vision
Complicated cataract surgery due to trauma and other reasons
Combined with other eye diseases not suitable for intraocular lens implantation
Patients with systemic diseases who cannot tolerate surgery