Affiliation:
1. Hindustan Institute of Technology and Science, India
Abstract
This chapter aims to explore the unmet challenges and potential strategies in the integration of machine learning (ML) and deep learning (DL) for risk prediction of major clinical events within the context of clinical practice. The integration of artificial intelligence (AI) in healthcare systems holds immense promise for enhancing patient care, but several challenges impede its seamless adoption. This chapter will specifically identify and analyze challenges within clinical practice that hinder the effective implementation of AI-enhanced healthcare systems. By examining the nature, scope, and impact of these challenges, the authors seek to provide insights into optimizing the benefits of AI applications in clinical settings.