AI and Machine Learning in Healthcare and Biomedical Engineering
Overview & Synopsis
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.
Indexed from repository: Directory of Open Access Books
(
www.doabooks.org)
Document Information
| Document Title | AI and Machine Learning in Healthcare and Biomedical Engineering |
|---|---|
| Author / Organization | DOAB Contributor |
| Subject & Discipline | Artificial intelligence, Machine learning, Medical imaging, Brain tumors, Lung cancer, Biomedical engineering, Medical Internet of Things (IoT), Implantable medical devices |
| Categories | Open Access Books |
| Publication Year | 2026 |
| License / Rights | Open Access / Creative Commons |
| Resource Verification | Listed PDF (Verification Pending) |
| Original Host Website |
Directory of Open Access Books
(www.doabooks.org)
|
| File Format | application/pdf (Portable Document Format) |
| Language | EN |
| Catalog ID | DOC-159211 |
| Original Source Link | Visit Source Page on www.doabooks.org » |