New Computer Learning Tool 95% Accurate in Screening for SSc

New Computer Learning Tool 95% Accurate in Screening for SSc

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New Computer Learning Tool 95% Accurate in Screening for SSc

Using a laptop, a computer-based machine learning tool was able to distinguish, with 95% accuracy, normal skin images from those collected from people with systemic sclerosis (SSc), a study demonstrated. This tool has the potential to rapidly diagnose SSc and to accurately classify the extent of the condition, the scientists said.  Moreover, it could “easily be implemented in a clinical setting, providing a simple, inexpensive, and accurate screening tool,” according to the researchers. The study, “Deep…

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