Computers promise to replace fallible human judgement with something more consistent, efficient and fair. But this isn’t ...

An exploration of how targeted nanoparticles and artificial intelligence algorithms combine to locate prostate cancer earlier ...

The latest type 2 diabetes (T2D) management guidance from the American Association of Clinical Endocrinology (AACE) covers ...

This technical discussion explores the fundamental shift from traditional pre-programmed software to autonomous artificial ...

The authors updated a diagnosis list to identify low-acuity emergency department visits by veterans and applied it to examine ...

Abstract: This review article provides a thorough assessment of modern and innovative algorithms for text classification through both observational and experimental evaluations. We propose a new ...

ABSTRACT: This paper presents a comprehensive machine learning approach for credit score classification, addressing key challenges in financial risk assessment. We propose an optimized CatBoost-based ...

Abstract: ECG (Electrocardiogram), the most commonly used tool in the diagnosis of cardiac diseases, contains a large amount of physiologic information about the electrical activity of the heart.

In today’s world, you’ve probably heard the term “Machine Learning” more than once. It’s a big topic, and if you’re new to it, all the technical words might feel confusing. Let’s start with the basics ...

PR1, W1, T51, F58, SL4, KL3, SM11. This is not a test to crack a code. But you will see a series of letter and number combinations while engaging with the Paralympics in Paris. At the Olympics, there ...