The impact of algorithmic technologies on healthcare /

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 learni...

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Bibliographic Details
Other Authors:	Dubey, Parul (Editor), Madankar, Mangala (Editor), Dubey, Pushkar (Editor), Hung, Bui Thanh (Editor)
Format:	eBook
Language:	English
Published:	Hoboknen, NJ : Beverly, MA : Wiley ; Scrivener, 2025.
Series:	Machine Learning in Biomedical Science and Healthcare Informatics
Subjects:	Artificial intelligence > Medical applications.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

Preface
1 Introduction to Algorithmic Health: Exploring Healthcare Through Digital Twins 1 A.S. Vinay Raj, N. Gopinath, R. Anandh, M. Mohammed Jalaluddin and Lyndsay R. Buckingham
1.1 Introduction
1.2 Related Works
1.3 Hardware Description
1.4 Methodology
1.5 Performance Analysis
1.6 Conclusion
2 The Digital Revolution in Healthcare 27 Devanand Bhonsle, Rama Shukla, Deepshikha Sahu, Tanuja Kashyap, Monika Dewangan and Seema Mishra
2.1 Introduction
2.2 Digital Technologies in the Healthcare Sector
2.3 Evolution of Digitalization in Business
2.4 Role of IoMT in Healthcare
2.5 Internet of Medical Things Devices
2.6 Security and Privacy in the Healthcare Sector
2.7 Eliminating Security and Privacy Concerns of Digitalization of the Healthcare Sector
2.8 Discussion
2.9 Future Works
2.10 Conclusion
3 Data-Driven Diagnostics: Deep Learning for Brain Tumor Classification 45 Astha Pathak and Lalita Panika
3.1 Introduction
3.2 Literature Review
3.3 Methodology
3.4 Result Analysis
3.5 Conclusion
4 Predictive Analysis in Patient Care 61 Bolukonda Prashanth, Bandi Krishna, Rakesh Nayak, Umashankar Ghugar and Arunakranthi Godishala
4.1 Introduction
4.2 Review of Predictive Analysis
4.3 Conclusion and Future
5 Leveraging Predictive Analytics: Enhancing Brain Tumor Classification with XGBoost 85 Katakam Hemanvitha and Vikram Dhiman
5.1 Introduction
5.2 Literature Review
5.3 Methodology
5.4 Results and Discussion
5.5 Conclusion
6 Machine Learning in Medical Imaging Revolutionizing Lung Cancer Diagnosis: A Comparative Analysis of Convolutional Neural Networks and Vision Transformers in Medical Imaging 103 Priya Parkhi, Bhagyashree Hambarde, Himesh Gangwani, Rupali Vairagade and Fred Kalombo
6.1 Introduction
6.2 Literature Review
6.3 Description of Model
6.4 Methodology
6.5 Results
6.6 Conclusion
7 Innovations in AI and ML for Medical Imaging: An Extensive Study with an Emphasis on Face Spoofing Detection and Snooping 127 Aparna Pandey, Arvind Kumar Tiwari, Harsha Nishad and Siji A. Thomas
7.1 Introduction
7.2 Artificial Intelligence as Well as Device Understandings
7.3 Assaults Through Entrance Spoofing
7.4 A Case Study with Real-Time Narrative: Identifying Face Spoofing in Medical Imaging
7.5 Moral Factors to Consider
7.6 Discussion
7.7 Summary
8 Progressive Growing of Generative Adversarial Networks (PGGAN) Approach to Synthesize Medical Images 157 Vishal V. Raner, Amit D. Joshi, Suraj T. Sawant and Tamizharasan P. S.
8.1 Introduction
8.2 Literature Review
8.3 Methodology
8.4 Results and Discussion
8.5 Conclusions
9 Revolutionizing Healthcare Through Optimized Video Retrieval 177 Pratibha Singh and Alok Kumar Singh Kushwaha
9.1 Introduction
9.2 Literature Review
9.3 Methodology
9.4 Results and Discussion
9.5 Conclusion
10 Multiclass Classification of Oral Diseases Using Deep Learning Models 189 Mohammed Zubair Hussain, Shrey Gupta, Bhagyashree Hambarde, Priya Parkhi and Zafar Karimov
10.1 Introduction
10.2 Literature Review
10.3 Methodology
10.4 Results
10.5 Conclusion
11 Smart Wearable Devices for Remote Patient Monitoring in Healthcare 209 Ravi Mishra, Swati Chaitandas Hadke, Devanand Bhonsle, Priti Nilesh Bhagat, Anupama Mahabansi and Sheetal Mungale
11.1 Introduction
11.2 Wearable Devices for Remote Monitoring
11.3 Communication Technologies for Remote Healthcare Monitoring
11.4 Proposed Methodology
11.5 Conclusion
12 Efficient IoT Solutions for Remote Health Monitoring 225 Vijayakumar S., N. Sheik Hameed, Kanchan S. Tiwari, A. Allwyn Sundarraj, N. Gopinath and Lyndsay R. Buckingham
12.1 Introduction
12.2 Related Works
12.3 Methodology
12.4 Discussion
12.5 Conclusion
13 Smart Medication Dispensing: IoT Innovations in Drug Development 255 Sapna Singh Kshatri, Mukesh Kumar Chandrakar, Devanand Bhonsle, Manjushree Nayak, Prashant Tamrakar and Pramisha Sharma
13.1 Introduction
13.2 Problem Identification
13.3 Proposed Method
13.4 Applications
13.5 Use of ATMEGA328P Using Arduino
13.6 Software Used
13.7 Result and Discussion
13.8 Conclusion
14 Telemedicine and Virtual Health: Pioneering Innovation and Future Frontiers in Personalized Patient Care 279 R. Rahul, R. Raghul Jayaprakash, M. Shibhi Varmaah and S. Velmurugan
14.1 Introduction to Telemedicine and Virtual Health
14.2 Challenges in Telemedicine
14.3 Artificial Intelligence in Telemedicine
14.4 Neurofeedback and Brain-Computer Interfaces (BCIs) in Telemedicine
14.5 Blockchain Technology in Virtual Healthcare
14.6 Telemedicine for Personalized Patient Care
14.7 Future Directions of Telemedicine in Healthcare
15 Blockchain Algorithm: Revolutionizing Healthcare Systems 313 Ritika Awasthi and Arvind Tiwari
15.1 Introduction
15.2 How Blockchain can Relate to Healthcare
15.3 Literature Review
15.4 Features of Blockchain
15.5 Blockchain Algorithms
15.6 Network Model in Blockchain Algorithm
15.7 Data Collection and Storage
15.8 Diversity in Blockchain Technology
15.9 Limitations of Blockchain
15.10 Conclusion
15.11 Future Work
16 Enhancing Cyber-Physical System Security in Healthcare Through Ensemble Learning, Blockchain and Multi-Attribute Feature Selection 349 Jagdish Pimple and Avinash Sharma
16.1 Introduction
16.2 Literature Survey
16.3 Identification of the Problem
16.4 Objectives
16.5 Proposed Methodology
16.6 Result and Discussion
16.7 Conclusion and Future Work
17 Digitizing Wellness: A Deep Dive Into EHR/EMR Systems 375 Parul Dubey, Anansingh Thinakaran and Rajendra Motiramji Rewatkar
17.1 Introduction
17.2 Literature Review
17.3 AWS and Healthcare Solutions
17.4 AWS Services for Healthcare
17.5 Building EHR/EMR Solutions on AWS
17.6 Innovating with AI and Analytics
17.7 Case Studies
17.8 Proposed Architecture Overview
17.9 Conclusion
18 Harmony in Healthcare: Implementing an AI-Powered Biometric System 397 S. Sharmila, M. Nirmala, Somasundaram Devaraj and M. Menagadevi
18.1 Introduction to Biometric System
18.2 Types of Biometric Systems
18.3 Biometrics in Healthcare Application
18.4 Biometric System for Monitoring and Disease Diagnosis
18.5 Future Direction of Biometrics in Personalized Care
19 Investigating the Revolution of Healthcare Application with Intense Comparisons and Case Study 421 Amudhavalli P., S. Urmela, Vishnupriya G., N. Gopinath, R. Anandh and Lyndsay R. Buckingham
19.1 Introduction
19.2 Digital Twin
19.3 Case Study--Healthcare Applications
19.4 Future Research Ideas
19.5 Conclusion
References
Index.