COVID-19 and Artificial Intelligence: Application of Health Technologies in Neurological Science and Practice During and post-Pandemic

ISBN-13: 9780443154102 / Angielski / Miękka / 2024

Priti Srinivas Sajja (Professor, Post Graduate Department of Computer Science, Sardar Patel University,India.), Kingsley

Opis

COVID-19 and Artificial Intelligence: Application of Health Technologies in Neurological Science and Practice During and post-Pandemic brings to light, both in theory and practice, newly available trends in design and use of robust systems and effective models for clinical practice using artificial intelligence. It also covers state-of-the-art case studies, technologies, and methodological approaches applied by researchers and medical practitioners to neurological patients’ care during and in preparedness to the aftermath of the COVID-19 pandemic. Artificial intelligence and machine learning techniques have many advantages and characteristics which make them an effective instrument in treating patients with neurological disorders. This book discusses the use of technology in intelligent disease diagnosis, healthcare, and other domains related to neurological disorders such as Atkinson’s, Alzheimer’s, amyotrophic lateral sclerosis (ALS), epilepsy and seizures, spinal cord injury, ataxia, brain tumors, Parkinson's, and diverse stroke types. It is a valuable resource for researchers, students and member of the biomedical and medical fields who want to learn more about the use of AI to better diagnose and treat patients.

Spis treści

1. Introduction to AI for neurological science
2. Machine learning applications for neurological science
3. AI and Machine learning for neurological disorders and diagnosis
4. Deep learning models for neurological science
5. Sustainable AI models for neurological science disorders
6. Clinical AI models for accuracy and explain-ability
7. Hybrid models for neurological science and applications
8. Intelligent systems for neurological science and applications
9. Bio-inspired models for neurological disorders
10. Meta-heuristic models for neurological science and applications
11. Fuzzy based models for neurological science and applications
12. Ensemble models for neurological science and applications
13. Multi-modal tools for neurological science and applications
14. AI for Neuro imaging
15. Post COVID-19 effects for neurological disorders
16. Psychological effects on neurological disorders
17. AI for neuroradiology
18. AI for drug discovery
19. AI for Electrophysiology, Multiple sclerosis, CT scan/MRI imaging or Retinal and fundus scans etc.
20. Challenges and future scopes of AI for neurological science and practice