Leveraging Cloud Computing for Advanced AI-Driven Biomedical Healthcare Systems

Abstract

The use of AI is expanding quickly in the healthcare industry, and several AI programs have been designed to address the most critical issues faced by healthcare providers today. Leaders in the health care industry must be well-versed in artificial intelligence (AI) and its potential applications in enhancing the quality, safety, and accessibility of treatment to patients in order to realize the goal of value-based medicine. This article serves as a primer on artificial intelligence (AI) technologies including machine learning, NLP, and AI voice assistants, as well as their appropriate use in the medical field. Further, it offers actionable advice to guide policymakers in crafting an AI strategy that can facilitate digital healthcare transformation. There is a lot of faith that artificial intelligence (AI) can revolutionize the healthcare industry in every way, from diagnosis to therapy. The overwhelming consensus is that AI technologies will complement and improve human efforts rather than displacing them. Healthcare workers may rely on AI for assistance with a wide range of jobs, including routine administrative work, clinical documentation, patient outreach, and more specialist areas like image analysis, medical device automation, and patient monitoring. Both direct healthcare applications and those throughout the healthcare value chain, such as drug discovery and ambient assisted living, will be explored in this chapter as some of the most significant uses of artificial intelligence in the healthcare industry today.