This book explores the current state of healthcare practice and provides a roadmap for harnessing artificial intelligence (AI) and other modern cognitive technologies for neurogenerative diseases. The main goal of this book is to look at how these techniques can be used to classify patients with neurodegenerative diseases by extracting data from multiple modalities. It demonstrates that the growing development of computer-aided diagnosis systems has a lot of potential to help with the diagnostic process. It offers an analysis of the prospective and perils in implementing such state of the art.
Progressive brain disorders with a high prevalence in the general population include Parkinson's disease, Alzheimer's disease and other types of dementia, Huntington's disease, and motor neuron disease. Worldwide, it is estimated that 33 million people have Alzheimer's disease, and 10 million people have Parkinson's disease. The global health economy is significantly impacted by these disorders, which affect both the patient and the caregivers. Various diagnostic techniques are used for differential diagnoses, such as brain imaging, EEG analysis, molecular analysis, and cognitive, psychological, and physical examination. The book aims to develop effective treatments, enhance patient quality of life, and extend life expectancy. It focuses on novel artificial intelligence approaches to clarify the pathogenesis of neurodegenerative disorders and provide early diagnosis.
The authors compile recent developments based on machine learning and deep learning techniques to diagnose neurodegenerative diseases using imaging, genetic, and clinical data. The authors support initiatives and methods that aim to improve the application of algorithms in diagnostic practice.
Table of contents (10 chapters)
Front Matter
Pages i-vi
Demystifying the Role of Artificial Intelligence in Neurodegenerative Diseases
Sandeep Mathur, Aditi Jaiswal
Pages 1-33
Role of Artificial Intelligence and Internet of Things in Neurodegenerative Diseases
Sandeep Mathur, Subhangee Bhattacharjee, Sheetal Sehgal, Richa Shekhar
Pages 35-62
Explainable Artificial Intelligence (XAI) on Neurogenerative Diseases
Loveleen Gaur, Devanshi Gaur
Pages 63-72
Clinical Genomics to Drug Discovery Using Machine Learning for Neurodegenerative Disorders: A Future Perspective
Abhishek Kumar Sahu, Rosaleen Sahoo, Lingaraj Jena, Sundeep Singh Saluja, Parameswar Sahu
Pages 73-82
Amyotrophic Lateral Sclerosis (ALS) Monitoring Using Explainable AI
Loveleen Gaur, Devanshi Gaur
Pages 83-90
Prevalence of Dementia in India
Sandeep Bhasin, Bhawna Kumar
Pages 91-103
Exploring AI’s Role in Managing Neurodegenerative Disorders: Possibilities and Hurdles
Sudheer Mangalampalli, Ganesh Reddy Karri, Aditi Shaw
Pages 105-131
Artificial Intelligence in Neuro Degenerative Diseases: Opportunities and Challenges
Sivaramakrishnan Rajaraman
Pages 133-153
AI Enhancing Digital Communication in Neurodegenerative Disease Treatment
Kavita Thapliyal, Manjul Thapliyal
Pages 155-170
Ethical Considerations: Case Scenarios
Loveleen Gaur, Devanshi Gaur
Pages 171-181
