Prediction model for the risk of vitreous haemorrhage after vitrectomy combined with intraocular injection for the treatment of proliferative diabetic retinopathy

The lightweight multimodal deep learning model integrating ultra-widefield fluorescein angiography images and clinical data demonstrated advantages in predicting the risk of POVCH after PDR surgery, with high accuracy, good calibration, excellent clinical utility and interpretability and low resource requirements.