The Future of AI in Healthcare

Abstract

The impending integration of artificial intelligence (AI) into healthcare signifies a paradigm shift, offering unprecedented opportunities alongside significant challenges. As AI gains traction for biomedical and healthcare analysis, it heralds a new era of possibilities previously inaccessible through conventional methods or human expertise. With the proliferation of medical devices and the advent of big data, AI, notably deep learning and machine learning, emerges as a cornerstone for data representation and analysis. Leveraging AI's capabilities, healthcare systems are poised to extract valuable insights from vast and varied data sources, spanning images, sounds, text, and physiological signals. This chapter explores AI's core principles and evaluates its current and prospective applications in healthcare, encompassing biological systems, electronic health records, medical imaging, and physiological signal analysis. Furthermore, it delves into the challenges inherent in AI adoption and outlines future research trajectories aimed at optimizing healthcare management through the fusion of AI technologies and modern internet infrastructure.

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