Krish Kapadia, Sanskriti Ruwali, Tanvi Malav, Sridhar Seshadri, Abraham Seidmann, Daniel Z Press, Vijaya B Kolachalama
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引用次数: 0
Abstract
Integrating artificial intelligence (AI) technologies into neurology promises increased patient access, engagement, and quality of care, as well as improved quality of work life for clinicians. While most studies have focused on comparing AI models to expert performance, we argue for a more practical approach: demonstrating how AI can augment clinical practice. This article presents a framework for pragmatic AI augmentation, addressing the shortage in neurology practices, exploring the potential of AI in opportunistic screening, and encouraging the concept of AI serving as a "co-pilot" in neurology. We discuss recommendations for future studies designed to emphasize human-computer collaboration, ensuring AI enhances rather than replaces clinical expertise.
期刊介绍：
Aging & Disease (A&D) is an open-access online journal dedicated to publishing groundbreaking research on the biology of aging, the pathophysiology of age-related diseases, and innovative therapies for conditions affecting the elderly. The scope encompasses various diseases such as Stroke, Alzheimer's disease, Parkinson’s disease, Epilepsy, Dementia, Depression, Cardiovascular Disease, Cancer, Arthritis, Cataract, Osteoporosis, Diabetes, and Hypertension. The journal welcomes studies involving animal models as well as human tissues or cells.
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