Deep learning (DL), as one of the most active machine learning research fields, has
achieved great success in numerous scientific and technological disciplines, including …

The rapid increase in data creation poses significant challenges and also opens up
possibilities for innovation that hinges on data analysis. This review explores how machine …

In healthcare, medical image processing is considered one of the most significant
procedures used in diagnosing pathological conditions. Magnetic resonance imaging (MRI) …

The aim of this study is to explore the potential uses of Big Data for enhancing the
competitive position of telecommunication companies based on Resource-Based View …

Artificial Intelligence (AI) and Machine Learning (ML) have revolutionized many industries,
and healthcare is no exception. Predictive analytics, a branch of data analytics that uses ML …

This research study explores the impact of machine learning and predictive analytics on
disease prevention in healthcare. By analyzing vast amounts of patient data, these …

Background Machine learning is a potentially effective method for predicting the response to
platinum-based treatment for ovarian cancer. However, the predictive performance of …

The integration of artificial intelligence (AI) into medical practice has become a critical focus
in contemporary medical research. This bibliometric analysis examined the scope of AI …

Polycystic ovary syndrome (PCOS) and endometrial carcinoma (EC) are gynecological
conditions that have attracted significant attention due to the higher prevalence of EC in …

Remote patient monitoring (RPM) enables clinicians to maintain and adjust their patients'
plan of care by using remotely gathered data, such as vital signs, to proactively make …