Healthcare is poised to enter a new era of intelligent systems and enhanced human
connection. The potential of artificial intelligence (AI) and machine learning (ML) …

The rapid integration of artificial intelligence (AI) into healthcare promises tremendous
benefits but also carries significant risks that must be proactively addressed. AI is …

This chapter discusses the importance of AI interpretability in various domains, highlighting
its need for transparency and explainability. It categorizes AI interpretability strategies into …

Background: AI-based medical devices and digital health technologies such as medical
sensors, wearables, telemedicine, large language models, and digital twins have a …

Healthcare systems have benefited from technology use and development. Different
technologies have augmented the healthcare system at different capacities and …

With the advent of advanced computing power, artificial intelligence (AI) has gained traction
in all areas of human life. The field of medicine is no exception to the influence of AI because …

Artificial intelligence (AI) has the potential to revolutionize healthcare, for example via
decision support systems, computer vision approaches, or AI-based prevention tools. Initial …

In the healthcare industry artificial intelligence (AI) has become a disruptive technology that
is revolutionizing patient care, diagnostics, and research. This abstract provides an overview …

The value and future potentials of AI in healthcare are becoming self-evident, presenting an
escalating body of evidence. However, the adoption into clinical practice is still significantly …

Artificial Intelligence (AI) integration in healthcare has been met with enthusiasm but also
caution (1). The expectation of AI to revolutionize healthcare is high, with its potential to …