Artificial intelligence (AI) has rapidly become one of the most frequently referenced concepts in high-performance sport. It is discussed in recruitment, in training planning, in tactical ...

Introduction: Stroke remains a leading cause of morbidity and mortality globally, with a 23% relative annual increase in incidence worldwide and a staggering 87% rise in the United States alone.

Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning algorithms, ClairS-TO and Clair3-RNA, that significantly advance genetic ...

In the modern era, fetal health risks has evolved as a critical public health concern, indicating the increase of complications in pregnancy, where fetal mortality is the primary risk concern majorly ...

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter adjustments. It started with the ...

ABSTRACT: Liver cancer is one of the most prevalent and lethal forms of cancer, making early detection crucial for effective treatment. This paper introduces a novel approach for automated liver tumor ...

Abstract: The success of deep learning (DL) is often achieved at the expense of large model sizes and high computational complexity during both training and post-training inferences, making it ...

ABSTRACT: Lung cancer stands as the preeminent cause of cancer-related mortality globally. Prompt and precise diagnosis, coupled with effective treatment, is imperative to reduce the fatality rates ...