Redefining Medical Diagnostics and Treatment with Artificial Intelligence

Abstract

Artificial Intelligence (AI) is driving fast changes in the area of mission-diagnostics, treatment planning, and patient care provisioning. This paper investigates the use of AI in some of the important areas such as medical imaging, genomics, clinical decision support, remote monitoring, surgical robotics and virtual care. Through the application of powerful algorithms, Machine Learning and Natural Language Processing capabilities, AI empowers healthcare providers to facilitate the early detection of diseases, improve precision medicine, alleviate clinical workloads and broaden the reach of medical services through virtual health. This has real-world examples of how organisations such as NHS, SGPGIMS and Northumbria University are benefiting from greater operational in the efficiencies created and outcomes. Yet for all the promise, there’s no shortage of challenges to bringing AI into healthcare.?From data privacy and algorithmic bias to regulatory uncertainty and ethical concerns, AI and health are a complex combination. The paper highlights the importance of transparent and fair AI algorithms that are clinically validated, concluding that with responsible policy-making and working together across disciplines, AI can play a dependable and transformative role in global healthcare delivery.