Kennedy Addo

Abstract
This study assesses the impact of AI, specifically deep
learning algorithms, on diagnostic accuracy. It identifies
various diseases where AI is applied, such as cancer,
cardiovascular diseases, and neurological disorders. By
analyzing existing AI implementations, the research
highlights improvements in early detection and diagnostic
precision. Additionally, the study proposes a novel deep
learning model to enhance clinicians’ decision-making at
the point of care. This framework aims to integrate
seamlessly with clinical workflows, providing real-time
insights and recommendations. The proposed model
focuses on improving patient outcomes through accurate,
timely, and data-driven clinical decisions.