Artificial Intelligence in Healthcare

Abstract

This paper explores the transformative impact of Artificial Intelligence (AI) in healthcare, focusing on enhancing patient care, optimizing medical processes, and improving diagnostic accuracy. The main objective of this research is to assess the current implementation of AI in healthcare systems and evaluate its potential benefits and challenges. The study includes a comprehensive literature review and analysis of case studies from various healthcare institutions. Key findings indicate that AI technologies, such as machine learning algorithms and natural language processing, have significantly improved the efficiency of medical diagnosis, treatment planning, and patient monitoring. Additionally, the research highlights innovative applications of AI, such as generative AI for clinical excellence, and the mixed attitudes toward AI in tuberculosis diagnosis in India's informal healthcare sector. These results suggest that integrating AI into healthcare has the potential to revolutionize the industry by reducing costs, minimizing  human errors, and providing personalized care. However, ethical concerns and the need for tailored regulatory frameworks remain critical challenges that must be addressed to ensure the responsible use of AI in healthcare.