Smart City Gnosys

Smart city article details

Title Integration Of Generative Ai System To Iot Based Healthcare Systems 5.0
ID_Doc 32153
Authors Ramesh J.V.N.; Talukdar V.; Kurniullah A.Z.; Jain S.K.; Anand R.; Gupta A.
Year 2024
Published Studies in Systems, Decision and Control, 571
DOI http://dx.doi.org/10.1007/978-3-031-75771-6_14
Abstract The combination of Generative AI and IoT technologies has created opportunities to improve the capabilities and efficiency of Healthcare Systems. This integration has the capacity to transform several sectors, such as healthcare, manufacturing, transportation, and smart cities. Generative AI systems give machines with tangible existence and independent decision-making powers, while IoT enables effortless connection and data interchange between physical objects and digital systems. This research examines the difficulties and potential advantages of incorporating Generative artificial intelligence systems into internet of things-based Healthcare systems. The study first examines the structure and elements of Generative AI systems and IoT-based Healthcare Systems, emphasizing their individual functions and interconnections. Subsequently, it analyzes the advantages of integrating various technologies, including improved perception of the surrounding circumstances, immediate and informed decision-making, and flexible responses in ever-changing settings. Furthermore, the study discusses the difficulties linked to this integration, including interoperability, security, privacy, and ethical issues. In addition, the paper showcases several instances and uses where the combination of Generative AI systems with IoT-based Healthcare Systems has shown notable progress. These include self-governing robotic systems in advanced manufacturing, intelligent gadgets for healthcare monitoring, self-driving automobiles, and systems for managing smart infrastructure. In addition, the study explores forthcoming areas of research and upcoming developments in this domain, including edge computing, swarm robotics, human–robot cooperation, and decentralized AI. Furthermore, it underscores the need of multidisciplinary cooperation among specialists in AI, IoT, robotics, cybersecurity, and domain-specific businesses to tackle intricate obstacles and fully unlock the potential of integrated Generative AI systems in IoT-based Healthcare Systems. Ultimately, the incorporation of Generative AI systems into IoT-based Healthcare Systems shows great potential for developing highly intelligent, adaptable, and effective Healthcare systems in several fields. Nevertheless, it necessitates meticulous examination of technological, ethical, and sociological ramifications to guarantee responsible implementation and optimize the advantages for mankind. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
Author Keywords Cybersecurity; Generative AI; Healthcare systems; Industrial 5.0; IoT


Similar Articles


Id Similarity Authors Title Published
6905 View0.878Khang A.Ai And Iot Technology And Applications For Smart Healthcare SystemsAI and IoT Technology and Applications for Smart Healthcare Systems (2024)
8478 View0.874Potnurwar A.V.; Bongirwar V.K.; Pathan S.S.; Kothoke P.M.; Dongre S.; Pande S.P.An Integrative Approach To Healthcare Enhancement Through Internet Of Things, Artificial Intelligence And Smart City InnovationsJournal of Electrical Systems, 19, 2 (2023)
21728 View0.874Hanifa M.S.M.; Alnaamani K.S.H.; Natarajan G.; Elango E.Edge Ai For Connected Healthcare In Internet Of Medical Things For Smart CitiesEdge AI for Industry 5.0 and Healthcare 5.0 Applications (2025)
964 View0.872Sah A.; Bhushan B.; Shetty C.A Comprehensive Study On Artificial Intelligence (Ai) Driven Internet Of Healthcare Things (Ioht)Communications in Computer and Information Science, 2231 CCIS (2025)
32866 View0.872Mishra P.; Singh G.Internet Of Medical Things Healthcare For Sustainable Smart Cities: Current Status And Future ProspectsApplied Sciences (Switzerland), 13, 15 (2023)
35090 View0.871Satyanarayana K.; Lovelin J.P.; Sreedevi V.; Putchala G.; Latha Y.L.M.; Katta S.Leveraging Iot And Ai Technologies For Real-Time Remote Patient Monitoring Innovations In Healthcare Delivery And OutcomesProceedings of the 2024 International Conference on Artificial Intelligence and Emerging Technology, Global AI Summit 2024 (2024)
26732 View0.869Singh K.D.; Singh P.D.Fog Cloud Computing And Iot Integration For Ai Enabled Autonomous Systems In RoboticsEAI Endorsed Transactions on AI and Robotics, 3 (2024)
59777 View0.869Thangiah M.; Vaithilingam A.C.; Perumal I.; Gudlur V.V.R.Unveiling The Complexities: Exploring The Challenges And Opportunities In Intelligent System ImplementationIntelligent Systems of Computing and Informatics in Sustainable Urban Development (2025)
19747 View0.865Sharma D.M.; Venkatramulu S.; Raja M.A.M.; Vikram G.; Alagappan C.; Boopathi S.Development Of Self Sustaining System By Integration Of Ai And IotThe Convergence of Self-Sustaining Systems With AI and IoT (2024)
35140 View0.864Tran T.A.; Onyema E.M.; Abougreen A.N.Leveraging The Potential Of Artificial Intelligence In The Real World: Smart Cities And HealthcareLeveraging the Potential of Artificial Intelligence in the Real World: Smart Cities and Healthcare (2024)