Integration of Artificial Intelligence (AI) in the healthcare field is
transforming the diagnostics, treatment, and management of hospitals and drugs. In this
chapter, the authors introduced AI as a game-changer in the healthcare sector, focusing
on the current applications, benefits expected, issues that healthcare stakeholders may
experience, as well as the prospective view of AI. Medical equipment like MRI and CT
scans, and genomics diagnosis have improved through AI, resulting in accurate early
diagnosis of diseases as well as different treatments for every patient. Some of the
practical technologies include Butte for Cancer, IBM Watson for Oncology, and AIdriven robotic surgical procedures that make diagnoses and patient relations more
accurate. In drug development, AI facilitates the identification of new targets, quickens
the process, optimizes trials, and increases safe estimates. The organizations that
implement Artificial Intelligence benefit from effective predictions of different factors
in hospital management, and also from efficiency in the use of limited resources in the
management of the organization. Here, the ethical and regulatory factors entailing the
privacy of patients’ data, data security, bias elimination, and transparency are important
considerations when integrating AI. These are: precision medicine, remote surgery,
autonomous surgical robots, and AI, with future technologies such as nanotechnology.
Given the fact that the AI poses ethical challenges, they will be met and solved, while
on the other hand, promoting collaboration will have a great impact on the delivery of
health care to the patients as well as providers.
Keywords: Artificial intelligence, Data security, Diagnostics, Drug development, Explainable AI, Healthcare, Personalized medicine, Predictive analytics, Robotic surgery, Workflow automation.
