Artificial Intelligence for Medical Data Processing : Algorithms and Applications

Artificial Intelligence for Medical Data Processing: Algorithms and Applications (Multimedia and Multimodal Intelligence)

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Artificial Intelligence for Medical Data Processing : Algorithms and Applications

Overall Rating: 4.1 / 5 (average from multiple review sources, as of 1 May 2026)
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Artificial Intelligence for Medical Data Processing: Algorithms and Applications (Multimedia and Multimodal Intelligence)

Overall Rating: 2.4 / 5 (average from multiple review sources, as of 24 Apr 2026)
Based on a total of 46,997 customer reviews from independent review platforms.

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The values are derived from publicly available retailer ratings from platforms such as Feefo, http://Reviews.io , Trustpilot, and others, and are aggregated monthly.

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This title will be released on August 25, 2026. Pre-order now. Express Delivery available with Amazon Prime.
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  • Cheapest price: £142.50
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  • The price range for the product Artificial Intelligence for Medical Data Processing : Algorithms and Applications is €£142.50to €£150.00 with a total of 2 offers.
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  • Delivery: The shortest delivery time is 2 - 4 working days working days offered by Whsmith.co.uk.

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Artificial Intelligence for Medical Data Processing : Algorithms and Applications

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This book showcases the potential of artificial intelligence to transform diagnostics, predictive analytics, personalized treatment, and healthcare resource optimization.It presents real-world applications and emerging trends, such as quantum computing, federated learning, and edge artificial intelligence.Features:Explores the intersection of artificial intelligence and neuroscience, including applications in understanding brain disorders, cognitive functions, and neuroimaging data processing. Provides insights into emerging technologies such as quantum computing and their potential to revolutionize medical data processing, accelerate artificial intelligence algorithms, and solve previously intractable problems in healthcare. Analyzes advanced strategies for identifying and mitigating biases in artificial intelligence models, ensuring compliance with global healthcare regulations and fostering ethical artificial intelligence adoption. Discusses the application of multi-agent artificial
£142.50
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