Applications of AI in Enhancing Environmental Healthcare Delivery Systems: A Review

Abstract

Abstract : Artificial Intelligence (AI) is fast changing the environmental health care delivery to incorporate the latest computational methodology to professionalize the process of diagnosis, treatment, and hospital management as well as foster patient participation. This review examines the present-day use of major AI technologies such as: machine learning, the deep learning, natural language processing, the computer vision, and robotics in the clinical, administrative and operational areas. Among those it points out the AI-assisted medical imaging, risk stratification through predictive analytics, clinical decision support system, precision medicine, remote patient monitoring, and hospital automation. Even with these breakthroughs, the application of AI is experiencing major challenges regarding data privacy, bias of algorithms, non-transparency, uncertainty of regulations, and ethics. Combining the extant research and practical examples of implementation, this paper highlights the successful opportunities of AI in medicine and sophisticated obstacles. The results will direct the policymakers, healthcare specialists, and technology developers to implement responsible and successful application of AI systems that enhance the delivery of equitable, efficient, and high-quality care.

Keywords: Artificial Intelligence, Healthcare Delivery, Medical Imaging, Predictive Analytics, Clinical Decision Support