Moving Towards Everlasting Artificial Intelligent Battery-Powered Implants

Häftad, Engelska, 2024

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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

Produktinformation

Utgivningsdatum2024-10-18
Mått191 x 235 x 23 mm
Vikt870 g
FormatHäftad
SpråkEngelska
Antal sidor420
FörlagElsevier Science
ISBN9780443248306

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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. Tawanda Mushiri is an Executive Director—Technical (ED-Tech) at the Scienti? c and Industrial Research and Development Centre (SIRDC) in, Harare, Zimbabwe and a Senior Research Associate in the Department of Sport and Movement Studies, Biomedical Engineering and Healthcare Technology (BEAHT) Research Centre, Faculty of Health Sciences, University of Johannesburg, South Africa. His research interests are in AI, robotics, biomedical engineering, medical physics, and healthcare systems design. He is a member of both the Zimbabwe Institute of Engineers and the Engineering Council of Zimbabwe.

1. Artificial Intelligence and Medical Devices Implants2. Trends in Pacemaker Technology: A Literature Survey3. Power Technologies of Cardiac Pacemakers4. Materials And Modelling of an Artificial Intelligent Charging System for a Cardiac Pacemaker5. Modelling of an In Vivo Electrochemical Biosense6. Cardiovascular Disease Prediction Using Machine Learning Models and Ensemble Technique7. Improved Disease Prediction Using Deep Learning8. Boosting P6 Medicine and Its Ethical Considerations9. Development and Validation of a Biomodified Fuel Cell Using MATLAB10. In Vivo Thermoelectrical Generator Design for Medical Implants Applications11. Alternative Road to Commercialization of Medical Implants Designs: A Case for a New AI Pacemaker12. Risk Assessment of an AI Charging System for Medical Implants13. Life Cycle, Economic, and Viability Analysis of an AI Charging System for Medical Implants14. Future and Way Forward of an AI Charging System for Medical Battery Powered Implants