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AI-Driven Alzheimer's Disease Detection and Prediction
Alzheimer's disease (AD) poses a significant global health challenge, with an estimated 50 million people affected worldwide and no known cure. Traditional methods of diagnosis and prediction often rely on subjective assessments. They are limited in detecting the disease early, leading to delayed intervention and poorer patient outcomes. Additionally, the complexity of AD, with its multifactorial etiology and diverse clinical manifestations, requires a multidisciplinary approach for effective management. AI-Driven Alzheimer's Disease Detection and Prediction offers a groundbreaking solution by leveraging advanced artificial intelligence (AI) techniques to enhance early diagnosis and prediction of AD. This edited book provides a comprehensive overview of state-of-the-art research, methodologies, and applications at the intersection of AI and AD detection. By bridging the gap between traditional diagnostic methods and cutting-edge technology, this book facilitates knowledge exchange, fosters interdisciplinary collaboration, and contributes to innovative solutions for AD management.
Intelligent Technologies and Parkinson’s Disease: Prediction and Diagnosis
When it comes to Parkinson's disease, one of the most important issues revolves around early detection and accurate diagnosis. The intricacies of this neurodegenerative disorder often elude timely identification, leaving patients and healthcare providers grappling with its progressive symptoms. Ethical concerns surrounding the use of machine learning to aid in diagnosis further complicate this challenge. This issue is particularly significant for research scholars, PhD fellows, post-doc fellows, and medical and biomedical scholars seeking to unravel the mysteries of Parkinson's disease and develop more effective treatments. Intelligent Technologies and Parkinson’s Disease: Prediction and Diagnosis serves as a beacon of hope in the quest to revolutionize Parkinson's disease diagnosis and treatment. It unveils the remarkable potential of artificial intelligence (AI) and machine learning (ML) in remodeling the way we approach this debilitating condition. With a comprehensive exploration of AI's capacity to analyze speech patterns, brain imaging data, and gait patterns, this book offers a powerful solution to the challenges of early detection and accurate diagnosis.
Orthopedic Surgery Clerkship
This quick-reference guide is the first book written specifically for the many third- and fourth-year medical students rotating on an orthopedic surgery service. Organized anatomically, it focuses on the diagnosis and management of the most common pathologic entities. Each chapter covers history, physical examination, imaging, and common diagnoses. For each diagnosis, the book sets out the typical presentation, options for non-operative and operative management, and expected outcomes. Chapters include key illustrations, quick-reference charts, tables, diagrams, and bulleted lists. Each chapter is co-authored by a senior resident or fellow and an established academic physician and is concise ...
Hand Infections, An Issue of Hand Clinics
This issue of Hand Clinics, guest edited by John Fowler and Richard J. Tosti, will cover a number of essential topic pertaining to Hand Infections. This issue is one of four issues selected each year by series Consulting Editor, Dr. Kevin Chung. Topics in this issue will include: Epidemiology and Public Health Burden of Hand Infections; Imaging/Lab work-up for Hand Infections; Antibiotic Management and Antibiotic Resistance; Hand Abscesses (Volar and Dorsal); Fingertip Infections (Felon/Paronychia); Flexor Tenosynovitis; Septic Joints (Finger and Wrist); Necrotizing Soft Tissue Infections in the Upper Extremity; Fungal Infections (including nail); Complications of Hand Infections; Soft Tissue Coverage for Severe Infections; Pediatric Hand Infections, among others.
Lok Sabha Debates
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Rajasthan Gazette
None
Indian Press Index
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