The author investigates how probabilistic classification can be used to enhance credit-scoring accuracy, offering a robust means for assessing model performance ...

A small adjustment to how artificial intelligence (AI) systems assign diagnosis codes could help physicians save time, cut down on billing errors, and improve patient records, according to new ...

A research team has developed a novel deep learning approach that significantly improves the accuracy of assessing plant leaf ...

Aims To assess cytokine levels in peripheral blood and tears of patients after allogeneic haematopoietic stem cell ...

Objective Breastfeeding prevalence and challenges among women of systemic lupus erythematosus (SLE) and rheumatoid arthritis ...

With over 20 million residents, the city’s hospitals face immense pressure to deliver timely and accurate medical services. A ...

A new trick for modeling molecules with quantum accuracy takes a step toward revealing the equation at the center of a ...

FICO established its own ranking algorithm to ensure its proprietary finance-specific AI models do not hallucinate.

Researchers at Dana-Farber Cancer Institute have developed a diagnostic tool that could transform the way acute leukemia is ...

A research team led by Academician Zhu Jiaojun from the Institute of Applied Ecology (IAE) of the Chinese Academy of Sciences ...

In this important work, the authors present a new transformer-based neural network designed to isolate and quantify higher-order epistasis in protein sequences. They provide solid evidence that higher ...

A machine learning model enhances treatment decisions for hepatocellular carcinoma, optimizing survival outcomes through ...