Routine blood tests and machine learning identify complications in high myopia - PubMed
3 hours ago
- #blood tests
- #machine learning
- #high myopia
- High myopia can lead to serious eye complications like cataract, glaucoma, retinal detachment, and macular degeneration.
- A machine learning model using routine blood test results can identify individuals at increased risk of high myopia complications.
- The model was developed in a multicentre study with 10,661 participants and validated in two independent cohorts.
- It showed high accuracy (AUC=0.9010-0.9649) and flagged individuals who later received a clinical diagnosis.
- In a community screening study of 311,254 adults, the model improved the detection of complications (PPV=74%).
- This approach supports opportunistic screening and earlier referral in primary care and community settings.