COVID-19 and Artificial Intelligence

Application of Health Technologies in Neurological Science and Practice During and post-Pandemic
Erscheinungsjahr 2024
ISBN: 978-0-443-15410-2
Verlag: Elsevier Science & Technology

Buch, Englisch, Format (B × H): 191 mm x 234 mm

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.

Autoren/Hrsg.

Sajja, Priti Srinivas

Okoye, Kingsley

Guggari, Shankru

Fachgebiete

• Naturwissenschaften Biowissenschaften Angewandte Biologie Bioinformatik
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Bioinformatik

Inhaltsverzeichnis

- Introduction to AI for neurological science
- Machine learning applications for neurological science
- AI and Machine learning for neurological disorders and diagnosis
- Deep learning models for neurological science
- Sustainable AI models for neurological science disorders
- Clinical AI models for accuracy and explain-ability
- Hybrid models for neurological science and applications
- Intelligent systems for neurological science and applications
- Bio-inspired models for neurological disorders
- Meta-heuristic models for neurological science and applications
- Fuzzy based models for neurological science and applications
- Ensemble models for neurological science and applications
- Multi-modal tools for neurological science and applications
- AI for Neuro imaging
- Post COVID-19 effects for neurological disorders
- Psychological effects on neurological disorders
- AI for neuroradiology
- AI for drug discovery
- AI for Electrophysiology, Multiple sclerosis, CT scan/MRI imaging or Retinal and fundus scans etc.
- Challenges and future scopes of AI for neurological science and practice

Über Autor(innen)

Sajja, Priti Srinivas
Priti Srinivas Sajja has worked with National Dairy Development Board (NCDFI-NDDB), and the Institute of Rural Management, Anand (IRMA) earlier. She is appointed as the Director of the University Granth Nirman Board by a committee formed by Hon'ble Governor on the recommendation of Hon'ble Chief Minister. She specializes in Artificial Intelligence especially in knowledge-based systems, machine learning, and software engineering. She is the author of 9 books in the intersection of technology and medicine. She is supervising the work of a few doctoral research scholars while eight candidates have completed their PhD research under her guidance. She has been co-investigator of an Indo-Russian project by DST. She has 219 publications in books, book chapters, journals, and in the proceedings of national and international conferences out of which eight publications have won best research paper awards including the Sardar Patel Research Award twice.