LEADER 04227nam 22006495 450 001 9910980481903321 005 20250219115251.0 010 $a9783031757716 010 $a3031757718 024 7 $a10.1007/978-3-031-75771-6 035 $a(CKB)37627874200041 035 $a(MiAaPQ)EBC31911838 035 $a(Au-PeEL)EBL31911838 035 $a(OCoLC)1500765524 035 $a(DE-He213)978-3-031-75771-6 035 $a(EXLCZ)9937627874200041 100 $a20250219d2024 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aRevolutionizing Healthcare 5.0: The Power of Generative AI $eAdvancements in Patient Care Through Generative AI Algorithms /$fedited by Pronaya Bhattacharya, Haipeng Liu, Pushan Kumar Dutta, Joel J. P. C. Rodrigues, Gautam Sethi 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2024. 215 $a1 online resource (544 pages) 225 1 $aStudies in Systems, Decision and Control,$x2198-4190 ;$v571 311 08$a9783031757709 311 08$a303175770X 327 $aThe emerging healthcare landscape -- AI for Healthcare 5.0: A shift towards personalized healthcare -- Transition to Generative AI in Healthcare 5.0 -- Drug Synthesis through Generative AI Models -- Generative AI for Data Augmentation in Clinical Trials -- Generative AI models for Personalized Healthcare -- Generative Deep Models for Medical Imaging -- Generative AI-driven fitness and real-time healthcare monitoring and control -- The future of Surgery and Anatomical Operations via Generative AI -- Generative models for AR/VR assisted Healthcare 5.0 -- Accuracy and Reliability of Synthetic Data Generation. 330 $aThis book serves as a critical resource that bridges the gap between burgeoning technology and its practical implementation. The book starts with an in-depth exploration of healthcare 5.0 principles, laying the foundation for the reader to understand the current shifts in healthcare paradigms. Then, it dives into the intricacies of generative models in healthcare, detailing how these algorithms work and the applications they serve. The book further delves into the subsets of generative machine learning and deep learning techniques in healthcare. As we move towards more complex applications, the book takes a turn to address the critical subject of interpretability and explainability in generative models, a topic that resonates profoundly given the life-critical nature of medical decisions. Finally, the book concludes with a robust discussion on the security and privacy concerns that accompany the deployment of GAI in real healthcare settings. By offering a multidimensional viewpoint?coupled with case studies, statistical analyses, and expert insights?the book ensures that the reader is left with a nuanced understanding of how GAI can be both a boon and a challenge in healthcare. As such, the proposed book serves as an indispensable resource for healthcare professionals, data scientists, researchers, and anyone invested in the future of healthcare and AI. 410 0$aStudies in Systems, Decision and Control,$x2198-4190 ;$v571 606 $aBiomedical engineering 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aMedical and Health Technologies 606 $aComputational Intelligence 606 $aArtificial Intelligence 615 0$aBiomedical engineering. 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 14$aMedical and Health Technologies. 615 24$aComputational Intelligence. 615 24$aArtificial Intelligence. 676 $a610.28 700 $aBhattacharya$b Pronaya$01766030 701 $aLiu$b Haipeng$01788458 701 $aDutta$b Pushan Kumar$01766029 701 $aRodrigues$b Joel J. P. C$01373632 701 $aSethi$b Gautam$01777044 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910980481903321 996 $aRevolutionizing Healthcare 5.0: The Power of Generative AI$94329781 997 $aUNINA