Role of artificial intelligence in healthcare and biomedical science

Abstract

Artificial intelligence (AI) is transforming healthcare and biomedical science by bringing new ideas and better results. AI mimics human thinking, helping to process large amounts of data, identify patterns, and make decisions to improve patient care, diagnosis, and research. This chapter explores the integration of AI in these fields, highlighting its profound impact on medical practice and scientific advancement. The chapter begins by discussing the fundamental concepts of healthcare research, biomedical science, and artificial intelligence, establishing a foundation for understanding their interconnectedness. It then examines the clinical applications of AI in healthcare, focusing on medical imaging and diagnostics, where AI algorithms improve accuracy and efficiency in detecting diseases; accelerating drug discovery through predictive modeling; and supporting mental health by offering personalized interventions and real-time monitoring. The chapter also addresses the various challenges associated with the implementation of AI, including data privacy concerns, ethical dilemmas, and the integration of AI tools into existing healthcare infrastructures. Furthermore, it explores the future scope of AI, envisioning its potential to revolutionize personalized medicine, enhance healthcare accessibility, and streamline clinical workflows. In conclusion, the chapter summarizes the potential benefits and long-term impacts of AI on healthcare and biomedical science, emphasizing the need for continued research, collaboration, and responsible implementation to ensure its successful integration and maximize its benefits for both practitioners and patients.

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