Published Paper Details:

With the advent of precision medicine, the traditional symptom-driven practice of medicine can be improved by using modern diagnostics earlier and creating more effective and cost-effective therapies. Due to healthcare's rising complexity and influx of data, artificial intelligence (AI) will become more widely used. Companies in the healthcare and life sciences sectors are already utilising various types of artificial intelligence (AI).Diagnostic and treatment suggestions, patient involvement and adherence, and administrative duties are all important application categories. The healthcare industry's information processing skills are being improved by new machine learning (ML) and artificial intelligence (AI) technologies. This study examines the present state of AI-based Machine Learning applications and their implications for the healthcare industry. This research included a comprehensive analysis of the literature as well as an examination of a number of real-world AI healthcare applications. Major hospitals are actively employing AI-enabled technology to support medical experts in patient diagnostic and treatment activities for a wide range of disorders.