Multilateral Development Banks face a critical paradox: they must adopt artificial intelligence to address the $2.5 trillion annual development financing gap while maintaining legitimacy across ...

Traditional machine learning algorithms for classification tasks operate under the assumption of balanced class distributions. However, this assumption only holds in some practical scenarios. In most ...

Purpose: To design an artificial intelligence (AI) algorithm based on the Lens Opacities Classification System III (LOCS III) to realize automatic diagnosis of cataracts and classification of its.

President Trump penned an executive order Thursday to form a new classification of noncareer federal employees who will be hired to “help faithfully implement the President’s policy agenda.” The ...

Multiview Enhanced Characteristics (Mecha) is a new feature-based TSC algorithm. Mecha consists of three components. In the diverse feature extractor, the global and local patterns are enhanced via ...

ABSTRACT: Accurate prediction of malaria incidence is indispensable in helping policy makers and decision makers intervene before the onset of an outbreak and potentially save lives. Various ...

In this tutorial, we will discover how to harness the power of an advanced AI Agent, augmented with both Python execution and result-validation capabilities, to tackle complex computational tasks. By ...

Objective: This study aimed to determine the diagnostic precision of a deep learning algorithm for the classificaiton of non-contrast brain CT reports. Methods: A total of 1,861 non-contrast brain CT ...

Cancer machine learning research is often limited by overparameterization and overfitting, which arise because cancer ‘omic’ variables significantly outnumber patient samples. Traditional feature ...