Abstract

In healthcare and clinical research, artificial intelligence (AI) has become a disruptive force that is transforming many facets of medical practice, diagnosis, treatment, and research. In order to give a thorough overview of the role of AI in healthcare, this review paper synthesizes views from a wide range of sources, including academic publications, conference papers, industry reports, and opinion pieces. It looks at how AI is being used in healthcare settings and how it may be used for jobs like patient care, diagnosis, and therapy. The article also covers the advantages of AI in healthcare, such as increased patient monitoring, individualized therapy alternatives, and higher diagnostic accuracy. The analysis does, however, also point out a number of obstacles and constraints that come with the broad use of AI, including worries about data privacy, algorithmic bias, legal restrictions, and ethical issues. The study highlights the need for ongoing research, innovation, and cooperation to achieve the full potential of AI in enhancing healthcare outcomes as it looks forward and identifies new trends and future directions in AI-enabled healthcare. In order to enable the responsible and fair deployment of AI technology, ethical aspects surrounding AI in healthcare are also covered. These considerations include informed consent, transparency, and equity. The article highlights the value of using lessonslearned from these experiences to guide future projects by providing case studies and examples of effective AI applications in healthcare settings. The overall goal of this review paper is to educate policymakers, researchers, healthcare providers, and other stakeholders about the opportunities and challenges that come with integrating AI into healthcare systems. It also aims to offer insightful information about the revolutionary impact of AI on clinical research and healthcare. Keywords: Artificial intelligence (AI), Healthcare, Clinical research, Diagnosis, Treatment

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