Securing healthcare data in smart cities: A machine learning approach

Abstract

Artificial intelligence has a variety of applications in the healthcare sector due to its capacity to assist in not only treatment and especially operations, but also diagnostics and prevention. There is hardly any industry that does not benefit from an increase in IT resources and self-learning computer networks. This paper presents smart healthcare data which can assess the situation and determine whether or not a person requires immediate medical assistance, as well as whether or not their symptoms will likely improve on their own over time. In addition to its contributions to treatment, operations, diagnostics, and prevention, Artificial Intelligence (AI) plays a pivotal role in optimizing healthcare processes and resource utilization. The integration of AI technologies in the healthcare sector has facilitated enhanced data analysis, personalized treatment plans, and more efficient allocation of medical resources. The intelligent processing of vast amounts of patient data enables timely identification of emerging health trends and the development of targeted interventions. Moreover, AI-powered healthcare data systems have the potential to revolutionize patient care by providing real-time assessments of individual health statuses. These systems can not only discern the need for immediate medical assistance but also predict the likelihood of symptom improvement over time, aiding in the formulation of proactive and preventive healthcare strategies. The ongoing advancements in AI continue to refine these capabilities, fostering a future where technology and healthcare seamlessly converge for the betterment of patient outcomes and overall public health.