Researchers have developed a new artificial intelligence-based method that could significantly improve the detection and ...
Defining and evaluating openness in AI requires examining both the model and system stack, including interfaces, safeguards, ...
Background/Aims Retinopathy of prematurity (ROP) zone classification guides disease severity assessment and Early Treatment ...
New research finds that piling on elaborate and complex charts can make people trust biased AI decisions, even when they are ...
Analysis of Large Language Model Decision Making in Hormone Receptor–Positive/Human Epidermal Growth Factor Receptor 2–Negative Early Breast Cancer Integrating artificial intelligence in cancer ...
Binary cross-entropy (BCE) is the default loss function for binary classification—but it breaks down badly on imbalanced datasets. The reason is subtle but important: BCE weighs mistakes from both ...
Abstract: Adversarial attacks present a severe threat to the trustworthiness of remote sensing uncrewed systems. Existing detection methods are mostly limited to binary classification, lacking ...
Counterfactual explanations (CEs) aim to enhance the interpretability of machine learning models by illustrating how alterations in input features would affect the resulting predictions. Common CE ...
In veterinary medicine, attempts to apply artificial intelligence (AI) to ultrasonography have rarely been reported, and few studies have investigated the value of AI in ultrasonographic diagnosis.
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