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Multimodal Data Fusion in Healthcare: AI Approaches for Precision Diagnosis

Edited by Akansha Singh, Edited by Anuradha Dhull, Edited by Monika Lamba, Edited by Krishna Kant Singh

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normal price: R 6 813.95

Price: R 6 473.95


| book description |

Multimodal Data Fusion in Healthcare: AI Approaches for Precision Diagnosis explores the transformative potential of AI in modern medicine by integrating diverse data sources such as medical imaging, genomics, EHRs, and wearable sensors. It highlights how AI technologies are revolutionizing healthcare systems through personalized and proactive diagnostics. The book covers cutting-edge methodologies, real-world applications, and the challenges of multimodal data fusion. Topics include AI-driven diagnostics, precision medicine, real-time patient monitoring, and the integration of clinical, genomic, and wearable data, providing both theoretical foundations and practical insights. This book is essential for healthcare professionals, data scientists, and engineers, offering clear frameworks for integrating diverse data types. It addresses crucial issues like data interoperability, privacy, and technical constraints, providing practical solutions. It serves as an invaluable reference for understanding and applying AI advancements in diagnostic precision and personalized medicine.

| product details |



Normally shipped | Forthcoming. We are not accepting backorders for this item yet
Publisher | Elsevier Science Publishing Co Inc
Published date | 15 Mar 2026
Language |
Format | Paperback / softback
Pages | 330
Dimensions | 235 x 191 x 0mm (L x W x H)
Weight | 450g
ISBN | 978-0-4434-4025-0
Readership Age |
BISAC | science / life sciences / biology / general


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