Integrating Artificial Intelligence With Federated Learning and Internet of Medical Things for Healthcare Sector: an Analysis With Alzheimer Dataset

In the intelligent healthcare field, technologies like Artificial Intelligence (AI), Internet of Things (IoT) and Federated Learning (FL) offer exciting and advanced services. Conventionally, the healthcare organization executes its operations by sharing its raw data with centralized agents. Hence, healthcare is vulnerable to data security issues even with present-day technologies. Integrating healthcare organizations with AI allows various agents to communicate with their anticipated host efficiently using the system. On the other hand, we have Federated Learning, which is another promising feature; it works in a decentralized manner; it does not require the transferring of raw data but also maintains the exchange of information based on a model in the system preferred. When technologies like AI and FL are combined, numerous challenges and shortcomings can be minimized in the medical organization. The work proposes a comprehensive investigation of Federated Learning using AI for intelligent applications in new-age healthcare systems. The proposed model analyzes Alzheimer's disease prediction using AI-based FL. The proposed model shows a better trade-off than various approaches with better prediction accuracy.