Artificial Intelligence (AI) has vast potential in marketing. It aids in proliferating information
and data sources, improving software's data management capabilities, and designing …

Advancements in deep learning techniques carry the potential to make significant
contributions to healthcare, particularly in fields that utilize medical imaging for diagnosis …

At the beginning of the artificial intelligence (AI)/machine learning (ML) era, the expectations
are high, and experts foresee that AI/ML shows potential for diagnosing, managing and …

As far back as the industrial revolution, significant development in technical innovation has
succeeded in transforming numerous manual tasks and processes that had been in …

In the past five years, private companies, research institutions and public sector
organizations have issued principles and guidelines for ethical artificial intelligence (AI) …

The role of automatic electrocardiogram (ECG) analysis in clinical practice is limited by the
accuracy of existing models. Deep Neural Networks (DNNs) are models composed of …

Objective: To provide an overview of ML models and data streams utilized for automated
surgical phase recognition. Background: Phase recognition identifies different steps and …

Recent advances in the Internet of Things (IoT) are giving rise to a proliferation of
interconnected devices, allowing the use of various smart applications. The enormous …

Recent years have seen a surge of interest in machine learning and artificial intelligence
techniques in health care. 1 Deep learning2 represents the latest iteration in a progression …

Background Machine learning (ML) is a growing field in medicine. This narrative review
describes the current body of literature on ML for clinical decision support in infectious …