This article provides a comprehensive review of the current state and potential applications of artificial intelligence (AI) in clinical practice, emphasizing its role in improving patient care and quality of life. AI's integration into healthcare systems has the potential to revolutionize various aspects of clinical practice, including disease diagnosis, treatment recommendations, and patient engagement. The review highlights the benefits of AI, such as increased accuracy, reduced costs, and time savings, while also addressing associated challenges, including ethical and legal considerations and the need for human expertise. The authors discuss the use of AI in areas such as personalized medicine, clinical laboratory testing, emergency department management, genomic medicine, and population health management. They also explore the potential of AI in drug information and consultation, virtual healthcare assistance, mental health support, and patient education. The article concludes by emphasizing the importance of addressing challenges related to data privacy, bias, and the need for human oversight to ensure responsible and effective implementation of AI in healthcare.This article provides a comprehensive review of the current state and potential applications of artificial intelligence (AI) in clinical practice, emphasizing its role in improving patient care and quality of life. AI's integration into healthcare systems has the potential to revolutionize various aspects of clinical practice, including disease diagnosis, treatment recommendations, and patient engagement. The review highlights the benefits of AI, such as increased accuracy, reduced costs, and time savings, while also addressing associated challenges, including ethical and legal considerations and the need for human expertise. The authors discuss the use of AI in areas such as personalized medicine, clinical laboratory testing, emergency department management, genomic medicine, and population health management. They also explore the potential of AI in drug information and consultation, virtual healthcare assistance, mental health support, and patient education. The article concludes by emphasizing the importance of addressing challenges related to data privacy, bias, and the need for human oversight to ensure responsible and effective implementation of AI in healthcare.