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
Sprache
Verlagsort
Verlagsgruppe
Elsevier Science & Techn.
Dateigröße
ISBN-13
978-0-443-21871-2 (9780443218712)
Schweitzer Klassifikation
1. Impact of Artificial Intelligence on Public Health: A Prospective Study on Medical Social Work Practice2. Upshots of Healthcare with AI3. Artificial Intelligence and Machine Learning Assisted Robotic Surgery: Current Trends and Future Scope4. A Deep Perspective of Blockchain Applications in Healthcare Sector and Industry 4.05. Analyzing the role of Machine Learning Techniques in Healthcare Systems6. Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL) in Biomedical Fields: A Prospect in Improvising Medical Healthcare Systems7. Artificial Intelligence in respiratory diseases with special insight through bioinformatics8. Electroencephalography (EEG) and Epilepsy9. A Review on Brain Computer Interface and its Applications10. Recent Trends in Metabolomics and Artificial Intelligence11. A comprehensive review on state of art imagined speech decoding techniques using Electroencephalography12. Parkinson's Disease Diagnosis, Treatment, and Future Scope: An Epilogue13. Recent Advances in Removal of Artefacts from EEG Signal Records14. Computer Aided Diagnosis in Health Care: Case Study on Lung Cancer Diagnosis15. AI and its role in predictive preclinical models for drug efficacy testing16. Machine Learning-based Solutions for Brain Tumor Detection: Comparative Study and Limitations17. Indoor and Home-Based Post-Stroke Rehabilitation Techniques- A Systemic Review18. A comprehensive study on implementable antennas for medical applications19. Deep Learning for Bone Age Assessment: Current Status and Future Prospects20. Emerging Applications of Artificial Intelligence in Analyzing EEG Signals for the Healthcare Sector21. Epilepsy Detection System using CWT and Deep-CNN22. Isolated Indian Sign Language Recognition with Multihead Attention Transformer based network and Mediapipe's landmarks23. Diagnosis of Parkinson's Disease based on Biological and Imaging-derived features using Machine learning and Deep learning24. Brain Tumor and Feature Detection from MRI and CT scan using Artificial Intelligence25. Neuromodulation via Brain Stimulation: A Promising Therapeutic Perspective for Alzheimer's Disease26. A Biosensor for the Detection of Viruses using One-Dimensional Photonic Crystals27. Artificial Intelligence Based Seizure Detection Systems in Electroencephalography: Transforming Healthcare for Accurate Diagnosis and Treatment28. Artificial Intelligence and Image Enhancement based methodologies used for detection of tumor in MRIs of human brain29. Machine learning based workload Identification using Functional Near-Infrared Spectroscopy (fNIRS) Data30. Forecasting the COVID-19 pandemic through the hybridization of Machine Intelligent Algorithms31. Suppression of Noise Signals from Computed Tomography and Ultrasound Medical Images and Performance Evaluation32. Prediction Of Non-Alcoholic Fat Liver Disease Using Machine Learning33. Evaluation of Diabetes Classification with Machine Learning Framework34. Various Segmentation Methods/ Techniques for Medical Images and The Role of IoT35. Augmented Mass Detection of Breast Cancer in Mammogram Images Using Deep Intelligent Neural Network Model36. CNC Machines in Production of Medical Devices37. Analysis and prediction of Cardiomyopathy using Artificial Intelligence38. A Preemptive Approach to Polycystic Ovary Syndrome Diagnosis using Machine Learning39. Mapping the Landscape of Human Activity Recognition Techniques in Health Monitoring for Chronic Disease Management40. Analysis and Organization of Mycological Skin Contaminations by Means of Medicinal Imagery41. A Sensitive Biosensor for the Detection of Blood Components Using 2D Photonic Crystals42. Machine Learning Assisted EEG Signal Classification for Automated Diagnosis of Mental Stress43. CNN based Deep Learning model for Skin Cancer detection using Dermatoscopic Images44. Bioelectrical Impedance Analysis Body Composition Estimation of Fat Mass Percentage in People with Spinal Cord Injury45.
