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

Integrating Artificial Intelligence With Federated Learning and Internet of Medical Things for Healthcare Sector: an Analysis With Alzheimer Dataset | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Case Report Integrating Artificial Intelligence With Federated Learning and Internet of Medical Things for Healthcare Sector: an Analysis With Alzheimer Dataset B. Bazeer Ahamed, Mohan Manoharan, P. Sherubha, S. P. Sasirekha This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5966493/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract 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. Artificial Intelligence Deep Learning prediction healthcare federated learning Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-5966493","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Case Report","associatedPublications":[],"authors":[{"id":451145268,"identity":"bc4b6f6f-57f4-4d3b-9528-5134052adafd","order_by":0,"name":"B. 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