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Deep learning for Mpox: Advances, challenges, and opportunities
Shannon Wongvibulsin1, Adewole S Adamson2
1Division of Dermatology, David Geffen School of Medicine at the University of California, Los Angeles, CA, USA.
Abstract:
Although deep-learning algorithms in dermatology have shown promise in diagnosing skin cancers, less is known about potential applications for the diagnosis of infectious diseases. In a recent publication in Nature Medicine, Thieme et al. develop a deep-learning algorithm to classify skin lesions from Mpox virus (MPXV) infections.1.
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