Artificial Intelligence in health care has become one of the best assisting techniques for clinicians in proper diagnosis and surgery. In biomedical applications, artificial intelligence algorithms are explored for bio-signals such as electrocardiogram (ECG/ EKG), electrooculogram (EOG), electromyogram (EMG), electroencephalogram (EEG), blood pressure, heart rate, nerve conduction, etc., and for bio-imaging modalities, such as Computed Tomography (CT), Cone-Beam Computed Tomography (CBCT), MRI (Magnetic Resonance Imaging), etc. Advancements in Artificial intelligence and big data has increased the development of innovative medical devices in health care applications. Recent Advances in Artificial Intelligence: Medical Applications provides an overview of artificial intelligence in biomedical applications including both bio-signals and bio-imaging modalities. The chapters contain a mathematical formulation of algorithms and their applications in biomedical field including case studies. Biomedical engineers, advanced students, and researchers can use this book to apply their knowledge in artificial intelligence-based processes to biological signals, implement mathematical models and advanced algorithms, as well as develop AI-based medical devices.
- Covers the recent advancements of artificial intelligence in healthcare, including case studies on how this technology can be used
- Provides an understanding of the design of experiments to validate the developed algorithms
- Presents an understanding of the versatile application of artificial intelligence in bio-signal and bio-image processing techniques
Sprache
Verlagsort
Verlagsgruppe
Elsevier Science & Techn.
Dateigröße
ISBN-13
978-0-443-15392-1 (9780443153921)
Schweitzer Klassifikation
1. Introduction to Biomedical signals and Biomedical Imaging2. Medical Applications of Artificial Intelligence3. Decipher the Mask-Induced Cardiac Changes in the ECG Signals using DWT and Machine Learning Classifiers4. A robust to noise classification method for the heart sound signals using deep learning technique5. Brain tumour segmentation using Advanced deep learning Techniques6. AI in medical robotics7. AI in medical education8. Machine Learning and Deep Learning Techniques for Smart Diagnosis of Obstructive Sleep Apnea using Single lead ECG9. Artificial Intelligence techniques for Diagnosis of Atrial Fibrillation10. Artificial intelligence in monitoring and correction of functional state based on electro-cardio signal11. Deep Learning for drug repurposing.12. Explainable AI for medical applications13. Artificial intelligence-based smart devices for biomedical applications14. Automation in the field of orthodontics and orthopaedics based on artificial Intelligence15. Data driven models in health care diagnosis16. Artificial Intelligence for diabetes management17. 2D and 3D segmentation of organs using artificial intelligence18. Early-stage identification of Autism in children using gesture monitoring based on Artificial Intelligence.19. Artificial Intelligence in diagnosis of Neural disorders using bio signals and Imaging20. Biomedical Image Security21. AI for Cancer Diagnosis
