From Language Models to Life - Savers: The Evolution of GPT and Applications in Healthcare and Beyond

Kranthi Godavarthi

Abstract: The application of Artificial Intelligence (AI) is reshaping the healthcare landscape, addressing critical challenges to achieve the "quadruple aim" of healthcare: improving patient outcomes, enhancing care quality, reducing costs, and supporting clinician satisfaction. Increasing demands due to aging populations, rising chronic disease rates, and escalating healthcare expenses present significant hurdles for healthcare providers and regulators globally. AI technologies, particularly machine learning (ML), provide innovative solutions across healthcare operations, from diagnostics and personalized treatment to operational efficiencies and patient management. By leveraging AI?s capacity to analyse vast datasets, healthcare systems can enhance disease prediction, support preventive care, and improve chronic disease management. For instance, deep learning applications in medical imaging now rival or surpass traditional diagnostics in early detection, such as identifying tumours in mammography.

Keywords: Artificial Intelligence, Healthcare, Machine Learning, Patient Outcomes, Medical Imaging, Electronic Health Record (EHR), Data, Personalize Medical Treatments, Patterns, Recommendations, Cost