In exploring bioengineering and healthcare data analysis, the author has explored the
important role in transforming healthcare and personalized medicine. This chapter provides …

Heart disease is still a major health problem around the world, which shows how important it
is to have accurate and quick ways to find and identify diseases. The goal of this study is to …

The cloud-based system is a technology that is currently in the development phase and
allows e-health information systems to store and exchange medical records. Nevertheless, it …

This chapter explores the potential of green AI and big data informatics for personalized
disease prediction in clinical decision making. Green AI prioritizes efficiency, minimizing …

The emergence of generative artificial intelligence (AI) and visualisation as transformational
technologies has major ramifications for current applications in a variety of industries. This …

This chapter focuses on the best relationship between humanity and AI in healthcare. The
focus in this chapter is the patient-centered approach in hospitals with AI. The research …

In a world that is changing quickly and has limited resources, artificial intelligence has a lot
of potential to improve the protection and sustainable use of biological and environmental …

The integration of AI into EMR systems is reshaping healthcare, offering potential
improvements in patient care, clinical decision-making, and administrative processes. This …

Artificial Intelligence (AI) approaches have the potential to maximize the diagnostic potential
of echocardiography. It has been demonstrated that using AI to analyze left ventricular strain …

Explainable AI (XAI) is at the forefront of healthcare innovation. It has the potential to
revolutionize clinical decision-making, improve patient care, and transform healthcare …