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Book chapter
Blockchain Based Smart, Secured Services for Modern Society: Applications, Challenges and Future Directions
Next Generation Blockchain for Next Generation Society with Futuristic Technologies, pp.365-383
CRC Press, 1
2026
Abstract
Medical Cyber-Physical Systems (MCPS) are cohesive frameworks that combine network and computer monitoring with physical process analysis. They combine data analysis with robots and sensor systems i n order to develop natural processes that communicate with people in a variety of industries, including healthcare. MCPS are flexible, self-sufficient, helpful, and safe systems that place communication and scheduling first. They also possess the mental and physical abilities required for human interaction. Medical Cyber Physical Systems (MCPSs) recommend a platform whereby new Internet of Things (IoT) sensors gather patient health data, which is then locally pre-processed and processed in the cloud using sophisticated machine intelligence algorithms. The advent of MCPSs has the potential to transform remote patient healthcare monitoring, speed up the creation of novel medications or therapies, and improve the value of life for patients with a range of illnesses, among other uses. MCPS's IoT sensors collect a vast amount of raw medical data, which gives artificial intelligence algorithms a rich platform on which to support patient or medical professional decision-making. Medical cyber-physical systems (MCPS) are being used by hospitals more and more to give patients continuous, high-quality care. MCPS is a life-critical medical equipment system that is networked and context-aware. The need for adequate cybersecurity measures to safeguard patient data, medical equipment, and critical infrastructure is growing as healthcare systems become more digitalized. Active safety resolutions are required for these intricate situations due to the range of medical devices used in this system, including Body Sensor Nodes (BSN) and Mobile Devices (MD). Healthcare institutions can use artificial intelligence (AI) and MCPS to identify and prevent cyberattacks. Cyberattack trends can be predicted by AI algorithms, and the data is subsequently processed to support doctors in diagnosing.AI can support healthcare physicians in diagnosing conditions, producing choices, and developing customized treatment plans. The goal of AI goes beyond simple task automation; it also involves creating tools that can improve healthcare delivery in many contexts for patients. However, problems with prejudice, information integrity, and the need for human understanding must be addressed, if AI is to be applied in healthcare in an ethical and effective way. From early diagnosis and disease prevention to individualized treatments and disease development prediction, artificial intelligence (AI) and machine learning are delivering innovative solutions and impressive advancements to the healthcare sector. AI can identify intricate patterns and learn from them by analyzing vast datasets, giving medical personnel information that helps them make better judgments and lower medical errors. From a text passage or audio recording, AI can extract important information that relates to illness or disease symptoms.
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Details
- Title
- Blockchain Based Smart, Secured Services for Modern Society
- Edition
- 1
- Publication Details
- Next Generation Blockchain for Next Generation Society with Futuristic Technologies, pp.365-383
- Resource Type
- Book chapter
- Publisher
- CRC Press
- Copyright
- © CRC Press
- Identifiers
- 99381730024006600
- Academic Unit
- Cybersecurity and Information Technology; Hal Marcus College of Science and Engineering
- Language
- English