Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Multimodal Temporal Modeling for Clinical AI: Data, Method, and Deployment

Multimodal Temporal Modeling for Clinical AI: Data, Method, and Deployment

Wang, Ruiqi
Cai, Jinjin
Meng, Lingzhong

Hardcover

Medical ReferenceDatabasesGeneral Computers

PREORDER - Expected ship date October 28, 2026

ISBN10: 3032291380
ISBN13: 9783032291387
Publisher: Springer
Published: Oct 28 2026
Pages: 305
Language: English
This book discusses how multimodal temporal AI is transforming healthcare by combining diverse medical data and health records over time. With clear explanations, cutting-edge methods, and real-world case studies, the book provides researchers, clinicians, and innovators the tools they need to turn AI breakthroughs into smarter and personalized care and treatment. Unlike existing literature that focuses narrowly on specific techniques or applications, this book provides a comprehensive, big-picture perspective on multimodal temporal modeling in clinical AI. The authors not only explain technical methods, but also explore the core principles, challenges, and future directions that shape the field. Readers will find practical guidance for deploying these models in real healthcare settings, along with actionable strategies that can be applied immediately. Covering the full spectrum of topics, from data to methods to deployment, the book offers a complete roadmap rather than fragmented insights. As a timely and up-to-date resource, the book captures the momentum of a rapidly evolving field and provides readers a forward-looking guide to the future of AI in healthcare.

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