Introduction to AI in Healthcare

The adoption of artificial intelligence (AI) in healthcare has significantly improved outcomes by enabling disease diagnosis, drug discovery, clinical practices, radiology, and telehealth. There has been a surge in research activities and healthcare applications in post-pandemic times. This chapter explores the progression of AI from its inception to the present day. The article reviews the various applications and domains where artificial models have been successfully reported and deployed. Explainable AI is being embedded to aid practitioners in decision-making. The work critically examines the causes that hinder the adoption of AI tools and applications in the medical field, particularly in developing countries. The objective of this article is to report the progress of work concerning AI healthcare and the challenges that need to be addressed, ensuring that healthcare services are delivered to the common masses during both regular times and emergencies.