Nature

Systematic review and meta-analysis of regulator-approved deep learning systems for fundus diabetic retinopathy detections

To clarify the real-world performance of regulator-approved deep-learning (DL) systems for autonomous diabetic retinopathy (DR) screening, we systematically searched PubMed, Embase, and ClinicalTrials ...
Nature

Meta-learning for real-world class incremental learning: a transformer-based approach

Modern natural language processing (NLP) state-of-the-art (SoTA) deep learning (DL) models have hundreds of millions of parameters, making them extremely complex. Large datasets are required for ...