AI-Driven Healthcare Systems Enhanced by Advanced Data Analytics and Mobile Computing

Abstract

The management and use of healthcare data have undergone a tremendous transformation thanks to AI-driven healthcare systems powered by mobile computing and intelligent data analytics. The structure and operation of these systems are examined in this dissertation, with particular attention paid to essential elements such as data collection, processing, storage, and application development. These systems are becoming more effective because technologies such as distributed file storage, NoSQL databases, and parallel computing are being integrated, allowing real-time analysis, predictive models, and tailored healthcare services. The results demonstrate that AI significantly enhances healthcare delivery's precision, speed, and dependability, eventually improving patient care and increasing operational effectiveness.