{"product_id":"9783032291387","title":"Multimodal Temporal Modeling for Clinical AI: Data, Method, and Deployment","description":"\u003ch1\u003eMultimodal Temporal Modeling for Clinical AI: Data, Method, and Deployment\u003c\/h1\u003e \u003ch2\u003eCai, Jinjin; Wang, Ruiqi; Meng, Lingzhong; Su, Jing; Yang, Baijian\u003c\/h2\u003e \u003cp\u003e\u003c\/p\u003e\u003cp class=\"MsoBodyText\" style=\"margin: 0in 18.85pt .0001pt 0in;\"\u003eThis\u003cspan style=\"letter-spacing: -.15pt;\"\u003e \u003c\/span\u003ebook\u003cspan style=\"letter-spacing: -.15pt;\"\u003e \u003c\/span\u003ediscusses how\u003cspan style=\"letter-spacing: -.15pt;\"\u003e \u003c\/span\u003emultimodal\u003cspan style=\"letter-spacing: -.15pt;\"\u003e \u003c\/span\u003etemporal\u003cspan style=\"letter-spacing: -.15pt;\"\u003e \u003c\/span\u003eAI\u003cspan style=\"letter-spacing: -.15pt;\"\u003e \u003c\/span\u003eis\u003cspan style=\"letter-spacing: -.2pt;\"\u003e \u003c\/span\u003etransforming\u003cspan style=\"letter-spacing: -.2pt;\"\u003e \u003c\/span\u003ehealthcare by combining\u003cspan style=\"letter-spacing: -.05pt;\"\u003e \u003c\/span\u003ediverse medical data and health records over time. With clear explanations,\u003cspan style=\"letter-spacing: -.1pt;\"\u003e \u003c\/span\u003ecutting-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\u003cspan style=\"letter-spacing: -.2pt;\"\u003e \u003c\/span\u003eexisting\u003cspan style=\"letter-spacing: -.15pt;\"\u003e \u003c\/span\u003eliterature\u003cspan style=\"letter-spacing: -.25pt;\"\u003e \u003c\/span\u003ethat\u003cspan style=\"letter-spacing: -.2pt;\"\u003e \u003c\/span\u003efocuses\u003cspan style=\"letter-spacing: -.25pt;\"\u003e \u003c\/span\u003enarrowly\u003cspan style=\"letter-spacing: -.25pt;\"\u003e \u003c\/span\u003eon\u003cspan style=\"letter-spacing: -.15pt;\"\u003e \u003c\/span\u003especific\u003cspan style=\"letter-spacing: -.2pt;\"\u003e \u003c\/span\u003etechniques\u003cspan style=\"letter-spacing: -.25pt;\"\u003e \u003c\/span\u003eor\u003cspan style=\"letter-spacing: -.2pt;\"\u003e \u003c\/span\u003eapplications,\u003cspan style=\"letter-spacing: -.2pt;\"\u003e \u003c\/span\u003ethis\u003cspan style=\"letter-spacing: -.25pt;\"\u003e \u003c\/span\u003ebook\u003cspan style=\"letter-spacing: -.15pt;\"\u003e \u003c\/span\u003eprovides\u003cspan style=\"letter-spacing: -.25pt;\"\u003e \u003c\/span\u003ea 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\u003cspan style=\"letter-spacing: -.2pt;\"\u003e \u003c\/span\u003erather\u003cspan style=\"letter-spacing: -.1pt;\"\u003e \u003c\/span\u003ethan\u003cspan style=\"letter-spacing: -.1pt;\"\u003e \u003c\/span\u003efragmented\u003cspan style=\"letter-spacing: -.1pt;\"\u003e \u003c\/span\u003einsights.\u003cspan style=\"letter-spacing: -.15pt;\"\u003e \u003c\/span\u003eAs\u003cspan style=\"letter-spacing: -.2pt;\"\u003e \u003c\/span\u003ea\u003cspan style=\"letter-spacing: -.15pt;\"\u003e \u003c\/span\u003etimely\u003cspan style=\"letter-spacing: -.1pt;\"\u003e \u003c\/span\u003eand\u003cspan style=\"letter-spacing: -.2pt;\"\u003e \u003c\/span\u003eup-to-date\u003cspan style=\"letter-spacing: -.25pt;\"\u003e \u003c\/span\u003eresource,\u003cspan style=\"letter-spacing: -.15pt;\"\u003e \u003c\/span\u003ethe book\u003cspan style=\"letter-spacing: -.2pt;\"\u003e \u003c\/span\u003ecaptures\u003cspan style=\"letter-spacing: -.3pt;\"\u003e \u003c\/span\u003ethe\u003cspan style=\"letter-spacing: -.15pt;\"\u003e \u003c\/span\u003emomentum\u003cspan style=\"letter-spacing: -.1pt;\"\u003e \u003c\/span\u003eof a rapidly evolving field and provides readers a forward-looking guide to the future of AI in healthcare.\u003c\/p\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Springer\u003c\/p\u003e \u003cp\u003ePublication Date: 2026-07-22\u003c\/p\u003e \u003cp\u003eFormat: Hardcover\u003c\/p\u003e \u003cp\u003eISBN-13: 9783032291387\u003c\/p\u003e \u003cp\u003eDOI: \u003c\/p\u003e \u003cp\u003eDimensions: 235cm x155cm\u003c\/p\u003e \u003cp\u003ePages: 305\u003c\/p\u003e ","brand":"Springer Nature Switzerland","offers":[{"title":"Default Title","offer_id":50185178742924,"sku":"9783032291387","price":80.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9783032291387.jpg?v=1779656033","url":"https:\/\/lateknightbooks.com\/products\/9783032291387","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}