Moving Towards Everlasting Artificial Intelligent Battery-Powered Implants
Autor: | Marvellous Moyo, Tawanda Mushiri |
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EAN: | 9780443248313 |
eBook Format: | ePUB |
Sprache: | Englisch |
Produktart: | eBook |
Veröffentlichungsdatum: | 15.10.2024 |
Kategorie: | |
Schlagworte: | Artificial intelligence battery charging biomodified fuel cell cardiovascular diseases classifier deep learning design optimization machine learning medical implant |
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Moving Towards Everlasting Artificial Intelligent Battery-Powered Implants presents the development process of new artificial intelligent (AI) charging systems for battery-powered implants that can last for a lifetime after implantation. This book introduces new strategies to address the limitations of technologies that have been employed to improve the lifespan of medical implants. This book also provides guidelines that medical implant manufacturers can adopt during their product development stages-this adds a new dimension of research on medical device implants that can be a game changer for the AI medical implants industry. Researchers, engineers, and graduate students in the elds of biomedical engineering, electrical engineering, and computer science will find this text helpful as they seek to understand the potential of AI systems to help achieve sustainability in healthcare and make current medical implants relevant in the future. - Presents basic and advanced concepts in medical implants design - Explores various uses of AI and engineering concepts in optimization and enhancement of medical devices - Facilitates new approaches in improving patient safety and reliability of medical devices
Marvellous Moyo is a PhD candidate in the Department of Biomedical Engineering at the University of Twente, Enscede, the Netherlands. He possesses advanced skills in engineering design, 3D modeling, and simulation and specializes in the ? elds of robotics, AI, Health 4.0, biomedical engineering, and renewable energy.
Marvellous Moyo is a PhD candidate in the Department of Biomedical Engineering at the University of Twente, Enscede, the Netherlands. He possesses advanced skills in engineering design, 3D modeling, and simulation and specializes in the ? elds of robotics, AI, Health 4.0, biomedical engineering, and renewable energy.