Development and evaluation of a deep learning model for the detection of multiple fundus diseases based on colour fundus photography.
Aim was to explore and evaluate an appropriate deep
learning system (DLS) for the detection of 12 major
fundus diseases using colour fundus photography...
Efficacy of artificial intelligence-based screening for diabetic retinopathy in type 2 diabetes mellitus patients
Aim was to explore the efficacy of artificial intelligence (AI)-based screening for diabetic retinopathy (DR) in type 2 diabetes mellitus (T2DM) patients photography can detect it...
The performance of a deep learning system in assisting junior
ophthalmologists in diagnosing 13 major fundus diseases: a
prospective multi-center clinical trial
Aim was to evaluate both the diagnostic performance and the
potential value of a DLS in assisting junior ophthalmologists in
the detection of 13 major fundus diseases...