**2. Methodology**

This chapter is a review of the literature relevant to the medical profession and their concerns as stakeholders on a subject that is not primarily their dominion. The important search engines used are Google, Microsoft Bing, Google Scholar, and PubMed. The Search words used are: Artificial Intelligence, Data at point of care, Stakeholders, Annotation, Anonymisation, Ethical and Legal Issues, Privacy and Security, Trust, Concerns, Explainability, Medical Education, Emotions and behaviour, Disability, Negative Impact, and loss of Jobs.

The search included blogs, articles, reports and publications in peer reviewed journals referring to AI in healthcare. The ultimate beneficiary of AI in healthcare is the patients. The concerns of the patients as well as healthcare professionals with reference to trust and possible ethical and legal issues are covered. The claims of the AI are not without certain negative impacts. An attempt is made to cover the pros and the cons of AI in healthcare. The technical work concerned with the development of the AI/ML platforms and algorithms is beyond the scope of this review and are excluded. A number of tools applying AI/ML are currently in use in healthcare. A few of them are in pipeline. The purpose of this review is not to evaluate the AI/ML tools that are currently in use or in pipeline in healthcare (**Table 1**).


#### **Table 1.** *AI in healthcare—Pros and Cons.*
