ABSTRACT
When “Artificial Intelligence” (AI) employs techniques like sentiment analysis and “Natural Language Processing,” it demonstrates potential usefulness in a variety of contexts. In the business realm, AI enables machines to self-learn through the evaluation of information and the acquisition of new information which they can subsequently apply to a variety of activities. AI is a broader concept that encompasses the computer science subfields of machine learning and deep learning. Radiography and the treatment of chronic illnesses like malignancy are two areas where AI has been used to great effect. It's clear that AI has significant advantages over traditional approaches to research and treatment options that rely solely on human intervention. When AI methods are given the opportunity to learn from training instances, efficiency increases, allowing for insights into therapeutic variance, patient care, examinations, and results that were earlier impossible to obtain. Another area where AI has created a noticeable influence is medicine. This ground-breaking innovation, previously thought impossible, is now completely within reach. This constantly developing technology is now an integral part of our lives in ways we could never have predicted. The widespread implementation of AI in medicine has caused a tsunami in the information technology sector. An assortment of healthcare-related AI applications and techniques are discussed in this chapter.
