Incorporating Artificial Intelligence (AI) for Precision Medicine
Arpita Nayak, Atmika Patnaik, Ipseeta Satpathy, B. C. M. Patnaik, Alex Khang
Abstract
This narrative analysis research investigates the use of artificial intelligence (AI) in precision medicine. It focuses specifically on how AI technology may be used to improve precision medical practice and patient outcomes. The combination of artificial intelligence (AI) with precision medicine has the potential to revolutionize health care. Precision medicine is a type of healthcare that considers an individual's genetic, environmental, and behavioural characteristics. The resource-based view (RBV) theoretical framework is used in this study to give a lens through which to explore the many components required in incorporating AI for precision medicine. These components include AI technology, resource acquisition, resource utilization, resource heterogeneity, and resource complementarity. This study attempts to provide light on the possible benefits, and future consequences of incorporating AI in the framework of precision medicine through a complete narrative analysis.