The Impact of Algorithmic Technologies on Healthcare

Parul Dubey, Mangala Madankar, Pushkar Dubey, Bui Thanh Hung

• Publisher: Wiley-Scrivener
• Year: 2025
• Print ISBN: 9781394305469
• eBook ISBN: 9781394305483
• Edition: 1
• Topic: Computer Science
• Subtopic: Programming Algorithms
• Index: Computer Science

The book explores the fundamental principles and transformative advancements in cutting-edge algorithmic technologies, detailing their application and impact on revolutionizing healthcare.

This book provides an in-depth account of how technologies such as artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT) are reshaping healthcare, transitioning from traditional diagnostic and treatment 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 in algorithmic medicine.

After introducing digital twin technology and its potential to enhance healthcare delivery, the book examines the broader effects of digital technology on the healthcare system. Subsequent chapters explore topics such as innovations in medical imaging, predictive analytics for improved 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 biometric systems driven by AI, securing cyber-physical systems in healthcare, and digitizing wellness through electronic health records (EHRs) and electronic medical records (EMRs) are also discussed. The book concludes with an extensive case study comparing the impacts of various healthcare applications, offering insights and encouraging further research and innovation in this dynamic field.

Audience

This book is suitable for academicians and professionals in health informatics, bioinformatics, biomedical science and engineering, artificial intelligence, as well as clinicians, IT specialists, and policymakers in healthcare.

Table of contents

• Cover
• Series Page
• Title Page
• Copyright Page
• Contents
• Preface
• Chapter 1 Introduction to Algorithmic Health: Exploring Healthcare Through Digital Twins
• Chapter 2 The Digital Revolution in Healthcare
• Chapter 3 Data-Driven Diagnostics: Deep Learning for Brain Tumor Classification
• Chapter 4 Predictive Analysis in Patient Care
• Chapter 5 Leveraging Predictive Analytics: Enhancing Brain Tumor Classification with XGBoost
• Chapter 6 Machine Learning in Medical Imaging Revolutionizing Lung Cancer Diagnosis: A Comparative Analysis of Convolutional Neural Networks and Vision Transformers in Medical Imaging
• Chapter 7 Innovations in AI and ML for Medical Imaging: An Extensive Study with an Emphasis on Face Spoofing Detection and Snooping
• Chapter 8 Progressive Growing of Generative Adversarial Networks (PGGAN) Approach to Synthesize Medical Images
• Chapter 9 Revolutionizing Healthcare Through Optimized Video Retrieval
• Chapter 10 Multiclass Classification of Oral Diseases Using Deep Learning Models
• Chapter 11 Smart Wearable Devices for Remote Patient Monitoring in Healthcare
• Chapter 12 Efficient IoT Solutions for Remote Health Monitoring
• Chapter 13 Smart Medication Dispensing: IoT Innovations in Drug Development
• Chapter 14 Telemedicine and Virtual Health: Pioneering Innovation and Future Frontiers in Personalized Patient Care
• Chapter 15 Blockchain Algorithm: Revolutionizing Healthcare Systems
• Chapter 16 Enhancing Cyber-Physical System Security in Healthcare Through Ensemble Learning, Blockchain and Multi-Attribute Feature Selection
• Chapter 17 Digitizing Wellness: A Deep Dive Into EHR/EMR Systems
• Chapter 18 Harmony in Healthcare: Implementing an AI-Powered Biometric System
• Chapter 19 Investigating the Revolution of Healthcare Application with Intense Comparisons and Case Study
• Index
• EULA