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AI and Machine Learning in Healthcare and Biomedical Engineering

This volume explores the integration of AI and Machine Learning into biomedical engineering, focusing on the synergy between diagnostic imaging and hardware design. It presents advanced techniques for processing MRI and CT scans to enhance tumor detection through neural networks and multimodal data...

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Guardat en:
Format: Online
Idioma:anglès
Publicat: South American Publishing 2026
Matèries:
Artificial intelligence, Machine learning, Medical imaging, Brain tumors, Lung cancer, Biomedical engineering, Medical Internet of Things (IoT), Implantable medical devices
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQE Expert systems / knowledge-based systems
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning
thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues
Accés en línia:https://directory.doabooks.org/handle/20.500.12854/176814
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Sumari:This volume explores the integration of AI and Machine Learning into biomedical engineering, focusing on the synergy between diagnostic imaging and hardware design. It presents advanced techniques for processing MRI and CT scans to enhance tumor detection through neural networks and multimodal data fusion, while simultaneously detailing how machine learning optimizes low-noise amplifiers for medical IoT and implantable devices. By bridging the gap between sophisticated data processing and low-power physical infrastructure, this work provides a comprehensive, end-to-end view of how AI is transforming the sensing, diagnosis, and communication chain in modern, tech-driven healthcare systems.

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