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Moving Towards Everlasting Artificial Intelligent Battery-Powered Implants

  • 1st Edition - October 15, 2024
  • Latest edition
  • Authors: Marvellous Moyo, Tawanda Mushiri
  • Language: English

Moving Towards Everlasting Artificial Intelligent Battery-Powered Implants presents the development process of new artificial intelligent (AI) charging systems for battery-p… Read more

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Description

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.

Key features

  • 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

Readership

Researchers, engineers, practitioners, and graduate students interested in research on future applications of AI and achieving sustainability in healthcare, drug delivery systems, and medical implants designs

Table of contents

1. Artificial Intelligence and Medical Devices Implants

2. Trends in Pacemaker Technology: A Literature Survey

3. Power Technologies of Cardiac Pacemakers

4. Materials And Modelling of an Artificial Intelligent Charging System for a Cardiac Pacemaker

5. Modelling of an In Vivo Electrochemical Biosense

6. Cardiovascular Disease Prediction Using Machine Learning Models and Ensemble Technique

7. Improved Disease Prediction Using Deep Learning

8. Boosting P6 Medicine and Its Ethical Considerations

9. Development and Validation of a Biomodified Fuel Cell Using MATLAB

10. In Vivo Thermoelectrical Generator Design for Medical Implants Applications

11. Alternative Road to Commercialization of Medical Implants Designs: A Case for a New AI Pacemaker

12. Risk Assessment of an AI Charging System for Medical Implants

13. Life Cycle, Economic, and Viability Analysis of an AI Charging System for Medical Implants

14. Future and Way Forward of an AI Charging System for Medical Battery Powered Implants

Product details

  • Edition: 1
  • Latest edition
  • Published: October 18, 2024
  • Language: English

About the authors

MM

Marvellous Moyo

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.
Affiliations and expertise
University of Twente, Enschede, The Netherlands

TM

Tawanda Mushiri

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.

Affiliations and expertise
Executive Director—Technical (ED-Tech), Scientific and Industrial Research and Development Centre (SIRDC), Harare, Zimbabwe

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