Artificial Intelligence in Biomedical and Modern Healthcare Informatics

M. A. Ansari, R.S Anand, Pragati Tripathi, Rajat Mehrotra, Belal Bin Heyat, Md Belal Bin Heyat

• Publisher: Academic Press
• Year: 2024
• eBook ISBN: 9780443218712
• Edition: 0
• Topic: Biological Sciences
• Subtopic: Molecular Biology
• Index: Biological Sciences

Artificial Intelligence in Biomedical and Modern Healthcare Informatics provides a deeper understanding of the current trends in AI and machine learning within healthcare diagnosis, its practical approach in healthcare, and gives insight into different wearable sensors and its device module to help doctors and their patients in enhanced healthcare system.The primary goal of this book is to detect difficulties and their solutions to medical practitioners for the early detection and prediction of any disease.The 56 chapters in the volume provide beginners and experts in the medical science field with general pictures and detailed descriptions of imaging and signal processing principles and clinical applications.With forefront applications and up-to-date analytical methods, this book captures the interests of colleagues in the medical imaging research field and is a valuable resource for healthcare professionals who wish to understand the principles and applications of signal and image processing and its related technologies in healthcare. - Discusses fundamental and advanced approaches as well as optimization techniques used in AI for healthcare systems - Includes chapters on various established imaging methods as well as emerging methods for skin cancer, brain tumor, epileptic seizures, and kidney diseases - Adopts a bottom-up approach and proposes recent trends in simple manner with the help of real-world examples - Synthesizes the existing international evidence and expert opinions on implementing decommissioning in healthcare - Promotes research in the field of health and hospital management in order to improve the efficiency of healthcare delivery systems

Table of contents

• Front Cover
• Artificial Intelligence in Biomedical and Modern Healthcare Informatics
• Artificial Intelligence in Biomedical and Modern Healthcare Informatics
• Copyright
• Contents
• Contributors
• About the editors
• Preface
• Acknowledgments
• 1 - Evaluating the role of artificial intelligence in modern public health: A future-oriented analysis of medical s ...
• 2 - Upshots of healthcare with AI
• 3 - Artificial intelligence and machine learning–assisted robotic surgery: Current trends and future scope
• 4 - A deep perspective of blockchain applications in healthcare sector and Industry 4.0
• 5 - Analyzing the role of machine learning techniques in healthcare systems
• 6 - Artificial intelligence, machine learning and deep learning in biomedical fields: A prospect in improvising med ...
• 7 - Artificial intelligence in respiratory diseases with special insight through bioinformatics
• 8 - Electroencephalography (EEG) in epilepsy care: An introduction
• 9 - A review on brain–computer interface and its applications
• 10 - Recent trends in metabolomics, machine learning and artificial intelligence
• 11 - A comprehensive review on state-of-the-art imagined speech decoding techniques using electroencephalography
• 12 - Parkinson's disease diagnosis, treatment, and future scope: An epilogue
• 13 - Recent advances in removal of artifacts from EEG signal records
• 14 - Computer-aided diagnosis in healthcare: Case study on lung cancer diagnosis
• 15 - AI and its role in predictive preclinical models for drug efficacy testing
• 16 - Machine learning–based solutions for brain tumor detection: Comparative study and limitations
• 17 - Indoor and home-based poststroke rehabilitation techniques—A systemic review
• 18 - A comprehensive study on implementable antennas for medical applications
• 19 - Deep learning for bone age assessment: Current status and future prospects
• 20 - Emerging applications of artificial intelligence in analyzing EEG signals for the healthcare sector
• 21 - Epilepsy detection system using CWT and deep CNN
• 22 - Isolated Indian Sign Language Recognition with multihead attention transformer based network and MediaPipe's l ...
• 23 - Diagnosis of Parkinson's disease based on biological and imaging-derived features using machine learning and d ...
• 24 - Braintumor and feature detection from MRI and CT scan using artificial intelligence
• 25 - Neuromodulation via brain stimulation: A promising therapeutic perspective for Alzheimer's disease
• 26 - A biosensor for the detection of viruses using one-dimensional photonic crystals
• 27 - Artificial intelligence–based seizure detection systems in electroencephalography: Transforming healthcare for ...
• 28 - Artificial intelligence and image enhancement–based methodologies used for detection of tumor in MRIs of human ...
• 29 - Machine learning-based workload identification using functional near-infrared spectroscopy (fNIRS) data
• 30 - Forecasting the COVID-19 pandemic through hybridization of Machine Intelligent Algorithms
• 31 - Suppression of noise signals from computed tomography and ultrasound medical images and performance evaluation
• 32 - Prediction of nonalcoholic fatty liver disease using machine learning
• 33 - Performance evaluation of diabetes with machine learning algorithms
• 34 - Various segmentation techniques for medical images and the role of IoT
• 35 - Augmented mass detection of breast cancer in mammogram images using deep intelligent neural network model
• 36 - CNC machines in production and manufacturing of medical devices
• 37 - Analysis and prediction of cardiomyopathy using artificial intelligence
• 38 - A preemptive approach to polycystic ovary syndrome diagnosis using machine learning
• 39 - Mapping the landscape of human activity recognition techniques in health monitoring for chronic disease management
• 40 - Analysis and organization of mycological skin contaminations by means of medicinal imagery
• 41 - A sensitive biosensor for the detection of blood components using 2D photonic crystals
• 42 - Machine learning assisted EEG signal classification for automated diagnosis of mental stress
• 43 - CNN based deep learning model for skin cancer detection using dermatoscopic images
• 44 - Bioelectrical impedance analysis body composition estimation of fat mass percentage in people with spinal cord ...
• 45 - Advanced EEG signal processing and feature extraction concepts
• 46 - Fractal analysis on biomedical signal
• 47 - Detection of metastasis osteosarcoma using deep fuzzy gradient recurrent convolutional neural network
• 48 - Deep learning based fatigue detection using functional connectivity
• 49 - Brain tumor diagnosis using image classifier
• 50 - ISL recognition system in real time using TensorFlow API
• 51 - Exploring the exciting potential and challenges of brain computer interfaces
• 52 - Transmission dynamics of COVID-19 virus disease
• 53 - Design of high voltage biphasic pulse generation circuit with 3-level isolation suitable for AED applications
• 54 - A novel scheme of brain tumor detection from MRIs using K-means segmentation and histogram analysis
• 55 - Analyzing post COVID-19 effects on self-consciousness and awareness toward health: A neuroscience framework
• 56 - Crowdsourcing and artificial intelligence based modeling framework for effective Public Healthcare Informatics ...
• Index
• Back Cover