Dinesh Bhatia – författare

Smart Healthcare for Disease Diagnosis and Prevention focuses on the advancement in healthcare technology to improve human health at all levels using smart technologies. It covers all necessary topics from basic concepts (such as signal and image processing) to advanced knowledge on topics such as tissue engineering, virtual and intelligent instrumentation (or VLSI) and Embedded Systems. This book can be used to guide students and young researchers, providing basic knowledge on signal/image processing and smart technologies. Users will find a perfect blend of the interdisciplinary approach to biomedical engineering.

The book considers many technical concepts, emerging technologies, real-world healthcare applications, and many other technical, multidisciplinary notions in the same content. Finally, it systemically introduces the technologies and devices for healthcare objects and targets disease diagnosis and prevention in different views.

Discusses how new advanced technologies are used in real healthcare applications to improve patient safety Explores how medical data such as signals and images can be used in diagnosis Covers how wireless communications devices, such as sensor networks, RFID, wireless body area network, and wearable sensors are used in the medical environment

Modern Intervention Tools for Rehabilitation addresses current advancements in rehabilitation to better equip clinicians and researchers in the field. This resource will equip professionals for better patient outcomes and improve future rehabilitation research quality. An interdisciplinary understanding of the rehabilitation field is crucial for improved patient care and outcomes, with relevance to patient care in other disciplines as well. With chapters dedicated to diagnostics, choosing appropriate techniques, managing medical treatment, and proper equipment care, readers will be well-equipped to decide on protocols, increase patient outcomes, and improve quality of life. Discusses experimental results and evidence related to modern intervention tools and techniques for re-education and rehabilitation Outlines conventional and recent advancement approaches Features individual chapter introductions and summaries to provide a comprehensive introduction Describes future perspectives in the field

This book combines machine learning and biomedical engineering to address practical issues in healthcare and biomedical research concentrating on real-world applications including bioinformatics, customized medicine, medical imaging analysis, disease detection, and health monitoring. It contains case studies and examples that show how various machine learning algorithms are used on biomedical data sets. The ethical issues and difficulties unique to using machine learning in biomedical settings, such as data privacy, algorithm bias, and regulatory compliance are also covered.Provides a broad introduction to machine learning in biomedicine and biomedical engineeringDiscusses ethical considerations and explainability pertinent to machine learning in bioengineeringExplores step-by-step tutorials, coding examples, and real-world case studies Reviews feature selection, training and evaluating models, preprocessing data, validation techniques tailored to biomedical data Includes MATLAB and Python coding programs This book is aimed at graduate students and researchers in bioengineering and machine learning.

This book on 3D printing in oral health science aims to equip the reader with a sound understanding of contemporary clinical applications in all fields of dentistry and their future directions.

This book on 3D printing in oral health science aims to equip the reader with a sound understanding of contemporary clinical applications in all fields of dentistry and their future directions.

This book explores the benefits of deploying Machine Learning (ML) and Artificial Intelligence (AI) in the health care environment. The authors aim to show how healthcare providers can use technology to exploit advances in machine learning and deep learning in their own applications.

This book explores the benefits of deploying Machine Learning (ML) and Artificial Intelligence (AI) in the health care environment. The authors aim to show how healthcare providers can use technology to exploit advances in machine learning and deep learning in their own applications.

This book is a compilation of work by experts from the different domains of the healthcare industry, ranging from hospital planning to quality management, clinical services to disaster management.Healthcare organizations, being diverse, sensitive, and intricate, warrant thorough and flawless planning.

This book is a compilation of work by experts from the different domains of the healthcare industry, ranging from hospital planning to quality management, clinical services to disaster management.Healthcare organizations, being diverse, sensitive, and intricate, warrant thorough and flawless planning.

This book provides a detailed insight into the amalgamation of the healthcare and hospitality sector, which brought forward the concept of healthcare tourism or medical tourism.