Reported accuracies were 86% (Random Forest) and 96% (convolutional neural networks), positioning retinal imaging as a candidate scalable tool for underserved populations. AI-powered polarized-light ...
While it may be the era of supercomputers and 'big data,' without smart methods to mine all that data, it's only so much digital detritus. Now researchers have come up with a novel machine learning ...
A total of 737 treatment-naïve patients with CLL diagnosed at Mayo Clinic were included in this study. We compared predictive abilities for two survival models (Cox proportional hazards and random ...
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