AI in Disease Detection : Advancements and Applications

Comprehensive resource encompassing recent developments, current use cases, and future opportunities for AI in disease detectionAI in Disease Detection discusses the integration of artificial intelligence to revolutionize disease detection approaches, with case studies of AI in disease detection as well as insight into the opportunities and challenges of AI in healthcare as a whole. The book explores a wide range of individual AI components such as computer vision, natural language processing, and machine learning as well as the development and implementation of AI systems for efficient practices in data collection, model training, and clinical validation. This book assists readers in assessing big data in healthcare and determining the drawbacks and possibilities associated with the implementation of AI in disease detection; categorizing major applications of AI in disease detection such as cardiovascular disease detection, cancer diagnosis, neurodegenerative disease detection, and infectious disease

seeking to understand the possible applications of AI in disease detection and stay on the cutting edge of the most recent breakthroughs in the field. [Publisher's Text]

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