Chapter 4: AI in Healthcare: Paradigm Shift in Modern Healthcare

AI is at the centre of a transformative healthcare ecosystem comprising doctors, patients and hospitals. AI is the connecting point between doctors and patients to deliver services and transfer information through the healthcare value chain. For doctors, AI supports them in obtaining the most accurate diagnosis, improves clinical workflow and enhances decision-making through advanced data analytics and predictive models. For patients, AI supports personalized care, early disease detection, virtual health assistants and access to healthcare. For hospitals, AI supports operational efficiency ranging from resource planning and patient triage to asset management via predictive maintenance and improved risk control. This AI-powered ecosystem fosters a patient-centric healthcare experience through a proactive, systems-based approach and moves us into precision medicine. AI will be pivotal as we intersect at these points of connection to improve healthcare delivery and outcomes, as it offers more options and efficiencies in our healthcare value chain. AI is revolutionizing healthcare through improving diagnostics, treatment and operating efficiency. By tapping the power of machine learning, Natural Language Processing (NLP) and deep learning, AI can process large volumes of data and derive patterns and predictions with unprecedented precision. The chapter discusses these uses in case studies and prognostications.