ABSTRACTHealthcare prediction has been a significant factor in saving lives in recent years. In thedomain of health care, there is a rapid development of intelligent systems for analysingcomplicated data relationships and transforming them into real information for use in theprediction process. Consequently, artificial intelligence is rapidly transforming the healthcareindustry, and thus comes the role of systems depending on machine learning and deeplearning in the creation of steps that diagnose and predict diseases, whether from clinical dataor based on images, that provide tremendous clinical support by simulating human perceptionand can even diagnose diseases that are difficult to detect by human intelligence. Predictiveanalytics for healthcare a critical imperative in the healthcare industry. Rapid AIadvancements can revolutionize healthcare by integrating it into clinical practice. ReportingAI’s role in clinical practice is crucial for successful implementation by equipping healthcareproviders with essential knowledge and tools. It also discusses the associated challenges,covering ethical and legal considerations and the need for human expertise. By doing so, itenhances understanding of AI’s significance in healthcare and supports healthcareorganizations in effectively adopting AI technologies. AI tools can leverage large datasets andidentify patterns to surpass human performance in several healthcare aspects. AI offersincreased accuracy, reduced costs, and time savings while minimizing human errors.
P. Ramadevi, Dr. Suneel Pappala, Dr. R.Nagaraju (Wed,) studied this question.