This book examines the fundamental principles and transformative advances in advanced algorithmic technologies, detailing their application and impact on the healthcare revolution.
This book provides a detailed account of how technologies such as artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT) are reshaping healthcare, shifting from traditional diagnostic and therapeutic approaches to data-driven solutions that improve predictive accuracy and patient outcomes. The text also addresses the challenges and considerations associated with adopting these technologies, including ethical implications, data security concerns, and the need for human-centered approaches to algorithmic medicine.
After introducing digital twin technology and its potential to enhance healthcare delivery, the book examines the broader impacts of digital technology on the healthcare system. Subsequent chapters explore topics such as innovations in medical imaging, predictive analytics for improving patient outcomes, and deep learning algorithms for brain tumor detection. Other topics include generative adversarial networks (GANs), convolutional neural networks (CNNs), smart wearables for remote patient monitoring, effective IoT solutions, telemedicine advancements, and blockchain security for healthcare systems. The integration of AI-based biometric systems, securing cyber-physical systems in healthcare, and digitizing health through electronic health records (EHRs) and electronic medical records (EMRs) are also discussed. The book concludes with an extensive case study that compares the impacts of various healthcare applications, provides insights, and encourages further research and innovation in this dynamic field.
