The application of AI in healthcare presents a wide range of potential that aid in decision-making. This essay's goal is to provide an overview of the primary techniques and uses of artificial intelligence in the field of healthcare. as well as to go over its drawbacks and difficulties. The database of PubMed was searched. Outcomes for articles published during the previous five years were reviewed. Artificial intelligence, machine learning, and healthcare were among the search terms used. The AI technique most frequently applied in healthcare was machine learning. It was used primarily for monitoring (9%), diagnosis (18%), and prediction (36.9%). The most popular machine learning algorithms were the neural network (27.8%), regression logistic (27.8%), and random forest (29.6%). In 15.6% of cases, machine learning was applied to enhance the management of the healthcare system. In 12.5% of the cases, it was utilized to characterize and make an attempt to comprehend the psychological behaviors of the community. It was primarily utilized in infect ology (15.6%) in clinical practice. In conclusion, AI holds great potential for the healthcare industry. The use of this technology in routine clinical practice must be accompanied by ethical concerns, though.

Artificial intelligence, Machine learning, healthcare.