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| 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 |
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