Background Artificial intelligence (AI) use cases in health care are on the rise, with the
potential to improve operational efficiency and care outcomes. However, the translation of AI …

The fusion of blockchain and artificial intelligence (AI) marks a paradigm shift in healthcare,
addressing critical challenges in securing electronic health records (EHRs), ensuring data …

Background and Motivation: Coronary artery disease (CAD) has the highest mortality rate;
therefore, its diagnosis is vital. Intravascular ultrasound (IVUS) is a high-resolution imaging …

Clinical AI model reporting cards should be expanded to incorporate a broad bias reporting
of both social and non-social factors. Non-social factors consider the role of other factors …

Abstract Trained Artificial Intelligence (AI) models are challenging to install on edge devices
as they are low in memory and computational power. Pruned AI (PAI) models are therefore …

Recent advancements in the field of Artificial Intelligence (AI) provide promising applications
of this technology with the aim of solving complex healthcare challenges. These include …

The chapter presents a comprehensive exploration of the changing dynamics at the
intersection between the rapidly growing landscape of the interconnectivity of various …

This study explores the impact of artificial intelligence (AI) on digital marketing processes
and outcomes. The research demonstrates that AI plays a vital role in tailoring ads and …

AI-driven news recommendation systems are widely used today, providing personalized
news consumption experiences. However, there are significant concerns that these systems …

This chapter explores the exciting possibilities and ethical considerations surrounding
Society 5.0, a future where advanced technologies like artificial intelligence (AI) are …