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Springer Multimodal AI in Healthcare: Paradigm Shift - SCI 1060

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Description

Explore the transformative role of multimodal artificial intelligence in healthcare through this comprehensive volume from Springer's Studies in Computational Intelligence series. This book examines how AI systems integrating multiple data types - including medical imaging, patient records, sensor data and clinical notes - are revolutionising diagnostic accuracy, treatment planning and health outcomes. Discover cutting-edge research on machine learning approaches that process diverse data streams simultaneously, enabling healthcare providers to make more informed decisions faster. Perfect for researchers, academics, healthcare technologists and AI specialists seeking to understand how multimodal systems are reshaping medicine and advancing intelligent health solutions across clinical and operational domains.

Key Features

Part of Springer's Studies in Computational Intelligence series (Volume 1060), providing peer-reviewed research on advanced AI methodologies.

Examines multimodal AI systems that integrate multiple data types for improved healthcare applications and clinical outcomes.

Covers machine learning approaches designed specifically for processing diverse healthcare data sources simultaneously.

Addresses the paradigm shift happening as AI transforms health intelligence and diagnostic capabilities across medical settings.

Provides essential insights for researchers and professionals developing or implementing AI solutions in healthcare environments.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
29 November 2023
Listed Since
03 November 2023

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No barcode data available

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