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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| Format: | Online |
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| Sprache: | Englisch |
| Veröffentlicht: |
South American Publishing
2026
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| Schlagworte: | |
| Online-Zugang: | https://directory.doabooks.org/handle/20.500.12854/176814 |
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| _version_ | 1869528483707748352 |
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| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-176814 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2026 |
| publishDateRange | 2026 |
| publishDateSort | 2026 |
| publisher | South American Publishing |
| publisherStr | South American Publishing |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1768142026-05-24T02:06:31Z AI and Machine Learning in Healthcare and Biomedical Engineering Vugar, Abdullayev Khang, Alex 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 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. Published 2026-05-24T02:06:28Z 2026-05-24T02:06:28Z 2025-12-21 book 978-9915-704-01-2 https://directory.doabooks.org/handle/20.500.12854/176814 eng application/octet-stream South American Publishing South American Publishing 10.62486/978-9915-704-01-2 10.62486/978-9915-704-01-2 18fbfe3b-3f91-4cf7-b6b9-18d696cb9331 978-9915-704-01-2 South American Publishing 75 Montevideo open access |
| spellingShingle | 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 AI and Machine Learning in Healthcare and Biomedical Engineering |
| title | AI and Machine Learning in Healthcare and Biomedical Engineering |
| title_full | AI and Machine Learning in Healthcare and Biomedical Engineering |
| title_fullStr | AI and Machine Learning in Healthcare and Biomedical Engineering |
| title_full_unstemmed | AI and Machine Learning in Healthcare and Biomedical Engineering |
| title_short | AI and Machine Learning in Healthcare and Biomedical Engineering |
| title_sort | ai and machine learning in healthcare and biomedical engineering |
| topic | 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 |
| topic_facet | 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 |
| url | https://directory.doabooks.org/handle/20.500.12854/176814 |