ABSTRACT

This book covers advancements and future challenges in biomedical application development using disruptive technologies like artificial intelligence (AI), the Internet of Things (IoT), and signal processing. The book is divided into four main sections, namely, medical image processing using AI; IoT and biomedical devices; biomedical signal processing; and electronic health records, including advances in biomedical systems. It includes different case studies of biomedical applications using different AI algorithms related to diabetes, skin cancer, breast cancer, cervical cancer, and osteoarthritis.

Features:

  • Covers different technologies like AI, IoT, and signal processing in the context of biomedical applications.
  • Reviews medical image analysis, disease detection, and prediction.
  • Comprehends the advantage of recent technologies for medical record keeping through electronic health records (EHRs).
  • Presents state-of-the-art research in the field of biomedical engineering using various physiological signals.
  • Explores different bio sensors used in healthcare applications using IOT.

This book is aimed at graduate students and researchers in AI, medical imaging, biomedical engineering, and IoT.

part I|106 pages

AI/ML for Biomedical Applications

chapter 1|14 pages

Recent Advances of Artificial Intelligence (AI) for Nanobiomedical Applications

Trends, Challenges, and Future Prospects

part III|98 pages

Bio-Signal Processing

part IV|26 pages

Electronic Health Records

chapter 17|16 pages

Electronic Health Records

Need, Challenges, and Future Scope

chapter 18|8 pages

Role of EHR in Cancer Detection

Need, Challenges, and Future Scope of EHR