DSM diagnoses can be useful. But they can also pathologize normal emotions, and the line between "healthy" and "disordered" ...
Cancer-diagnosing AI models can secretly read patient demographics from pathology slides, leading to biased results.
Analyzing several major pathology AI models designed to diagnose cancer, the researchers found unequal performance in ...
Abstract: Aiming at the problem of fault diagnosis of rotating machinery under complex working conditions, a convolutional neural network (CNN) model with an improved convolutional layer based on ...
Digital technologies are becoming increasingly prevalent in education, enabling personalized, high quality education resources to be accessible by students across the world. Importantly, among these ...
Artificial intelligence holds great promise for expanding access to expert medical knowledge and reasoning. However, most evaluations of language models rely on static vignettes and multiple-choice ...
Abstract: Assessment of swallowing disorders (ASD) is the first step to diagnosing whether the patient’s swallowing function is normal or not. Accurate ASD methods can reduce the incidence rate of ...
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