APPLICATIONS OF AI AND ML IN HEALTHCARE

Abstract

This review research paper aims to explore and analyze the diverse applications of Artificial Intelligence (AI) and Machine Learning (ML) in the field of healthcare. It seeks to investigate the impact of AI and ML technologies on various aspects of healthcare delivery, patient outcomes, and medical research. The paper is grounded in the theoretical framework of AI and ML technologies, highlighting their potential to revolutionize healthcare by enhancing diagnostic accuracy, personalized treatment plans, predictive analytics, and healthcare management systems. A comprehensive literature review and analysis of recent advancements in AI and ML applications in healthcare will be conducted. This will involve examining case studies, research papers, and industry reports to identify trends, challenges, and opportunities associated with these technologies in healthcare settings. The findings of this paper will provide insights into the current state of AI and ML adoption in healthcare, including successful implementation strategies, key benefits, limitations, and areas for future research and development. This paper will contribute to the existing body of knowledge by shedding light on the transformative potential of AI and ML in healthcare. It will offer practical implications for healthcare professionals, policymakers, and stakeholders to leverage these technologies effectively while considering ethical, legal, and social implications. The originality of this paper lies in its comprehensive analysis of AI and ML applications across different domains of healthcare, including diagnostics, treatment planning, patient monitoring, and administrative processes. It adds value by synthesizing existing research and identifying gaps for future exploration.