Prediction of Postoperative Visual Acuity in Cataract Patients Using a Macular Optical Coherence Tomography-based Deep Learning Method

Prediction of Postoperative Visual Acuity in Cataract Patients Using a Macular Optical Coherence Tomography-based Deep Learning Method

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.

Inclusion Criteria:

• Senile cataract patients, with or without macular disease, the impact of cataract on vision has affected the daily life of patients.

Exclusion Criteria:

• 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