Wei Chi

Uncertainty-inspired open-set model for identifying infantile fundus abnormalities

Accurate and safe identification of infantile fundus abnormalities is critical for large-scale screening, yet remains challenging because of heterogeneous disease presentations and overconfident predictions by conventional artificial intelligence (AI) models. In this study, we ai...

Pan-retinal pathology detection in oct scans integrating natural language synthesis with diagnostic annotation

Abstract While OCT is pivotal for macular disease diagnosis, its adoption in primary care is limited by AI systems that cannot simultaneously analyze multi-sectional scans across the full spectrum of maculopathies or generate diagnostically integrated reports. Here we present iOC...