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010   $a3-031-14771-5
024 7 $a10.1007/978-3-031-14771-5
035   $a(MiAaPQ)EBC7148690
035   $a(Au-PeEL)EBL7148690
035   $a(CKB)25504453200041
035   $a(PPN)266349080
035   $a(DE-He213)978-3-031-14771-5
035   $a(EXLCZ)9925504453200041
100   $a20221128d2023      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aMultimodal AI in Healthcare $eA Paradigm Shift in Health Intelligence /$fedited by Arash Shaban-Nejad, Martin Michalowski, Simone Bianco
205   $a1st ed. 2023.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2023.
215   $a1 online resource (417 pages) $cillustrations
225 1 $aStudies in Computational Intelligence,$x1860-9503 ;$v1060
311 08$aPrint version: Shaban-Nejad, Arash Multimodal AI in Healthcare Cham : Springer International Publishing AG,c2023 9783031147708 
320   $aIncludes bibliographical references.
327   $aUnsupervised Numerical Reasoning to Extract Phenotypes from Clinical Text by Leveraging External Knowledge -- Customized Training of Pretrained Language Models to Detect Post Intents in Online Health Support Groups -- EXPECT-NLP: An Integrated Pipeline and User Interface for Exploring Patient Preferences Directly from Patient-Generated Text.
330   $aThis book aims to highlight the latest achievements in the use of AI and multimodal artificial intelligence in biomedicine and healthcare. Multimodal AI is a relatively new concept in AI, in which different types of data (e.g. text, image, video, audio, and numerical data) are collected, integrated, and processed through a series of intelligence processing algorithms to improve performance. The edited volume contains selected papers presented at the 2022 Health Intelligence workshop and the associated Data Hackathon/Challenge, co-located with the Thirty-Sixth Association for the Advancement of Artificial Intelligence (AAAI) conference, and presents an overview of the issues, challenges, and potentials in the field, along with new research results. This book provides information for researchers, students, industry professionals, clinicians, and public health agencies interested in the applications of AI and Multimodal AI in public health and medicine.
410  0$aStudies in Computational Intelligence,$x1860-9503 ;$v1060
606   $aComputational intelligence
606   $aBiomedical engineering
606   $aEngineering$xData processing
606   $aArtificial intelligence
606   $aComputational Intelligence
606   $aBiomedical Engineering and Bioengineering
606   $aData Engineering
606   $aArtificial Intelligence
615  0$aComputational intelligence.
615  0$aBiomedical engineering.
615  0$aEngineering$xData processing.
615  0$aArtificial intelligence.
615 14$aComputational Intelligence.
615 24$aBiomedical Engineering and Bioengineering.
615 24$aData Engineering.
615 24$aArtificial Intelligence.
676   $a610.285
676   $a610.285
702   $aShaban-Nejad$b Arash
702   $aMichalowski$b Martin
702   $aBianco$b Simone
712 12$aAAAI Conference on Artificial Intelligence$d(36th :$f2022)
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910632485103321
996   $aMultimodal AI in Healthcare$92982687
997   $aUNINA