LEADER 01226nam2-2200397li-450 001 990000194440203316 005 20180312154814.0 010 $a0-85274-817-5 035 $a0019444 035 $aUSA010019444 035 $a(ALEPH)000019444USA01 035 $a0019444 100 $a20001109d1986----km-y0itay0103----ba 101 0 $aeng 102 $aUS 200 1 $aIntroduction to gauge field theory$fDavid Bailin, Alexander Love 210 $aBristol$cAdam Hilger$dcopyr. 1986 215 $aXIII, 348 p.$cill.$d24 cm 225 2 $aGraduate student series in physics$v0 410 0$10010019445$12001$aGraduate student series in physics 610 1 $acampi di gauge 610 1 $aparticelle 676 $a530143$9Teoria quantistica dei campi 700 1$aBailin,$bDavid$044542 702 1$aLove,$bAlexander 801 $aSistema bibliotecario di Ateneo dell' Università di Salerno$gRICA 912 $a990000194440203316 951 $a530 GSS (5)$b0014501 959 $aBK 969 $aSCI 979 $c19921015 979 $c20001110$lUSA01$h1713 979 $c20020403$lUSA01$h1627 979 $aPATRY$b90$c20040406$lUSA01$h1614 996 $aIntroduction to gauge field theory$9337478 997 $aUNISA LEADER 04716nam 22006495 450 001 9911049221303321 005 20260102120624.0 010 $a3-032-06520-8 024 7 $a10.1007/978-3-032-06520-9 035 $a(CKB)44769047100041 035 $a(MiAaPQ)EBC32470934 035 $a(Au-PeEL)EBL32470934 035 $a(DE-He213)978-3-032-06520-9 035 $a(EXLCZ)9944769047100041 100 $a20260102d2026 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aArtificial Intelligence in Healthcare and Biomedical Visualization /$fedited by Johann Malawana, Arian Arjomandi Rad, Robert Vardanyan, George Miller 205 $a1st ed. 2026. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2026. 215 $a1 online resource (346 pages) 225 1 $aBiomedical Visualization,$x2731-6149 ;$v10 311 08$a3-032-06519-4 327 $aChapter 1. The Anatomy of Medical Data -- Chapter 2. Machine Learning Algorithms for Medical Imaging -- Chapter 3. Virtual Reality in Medical Training -- Chapter 4. Artificial Intelligence in Diagnosis -- Chapter 5. Ethical Considerations in AI-Enabled Healthcare -- Chapter 6. The Role of Artificial Intelligence in Medical Education -- Chapter 7. AI in Surgical Simulation Training -- Chapter 8. Interstellar Informatics: Visualizing Space Medicine through Artificial Intelligence -- Chapter 9. AI in Healthcare in Low and Middle Income Countries -- Chapter 10. The Role of Artificial Intelligence in Workforce Adaptation and Skill Development. 330 $aThis book opens with a broad survey of how AI and biomedical visualization are reshaping medicine today. It defines the global challenges?workforce shortages, exploding data volumes, and rising costs?that make AI?s intervention critical, and introduces the core technologies (machine learning, virtual reality, telemedicine) driving innovation across diagnostic, educational, and delivery systems. By framing these advances within real world pressures, the introduction establishes why a holistic, interdisciplinary treatment of AI?s role in healthcare is both timely and essential. Delving deeper, the text is organized into ten thematically linked chapters. It begins by charting the anatomy of medical data and the visualization tools that make complex information interpretable, then moves into machine learning approaches for imaging and AI driven diagnostic platforms. Subsequent chapters explore immersive virtual reality simulations for clinician training, the ethical and regulatory imperatives of AI adoption, and the evolution of AI in medical education and surgical simulation. The book also examines frontier applications?autonomous health systems in spaceflight, AI supported care in low resource settings, and strategies for workforce adaptation?before concluding with a forward looking synthesis of best practices and future directions. This volume is crafted for a diverse readership?clinicians seeking to integrate AI tools, researchers probing new algorithms, healthcare administrators designing policy, and students building interdisciplinary expertise. By combining case studies, evidence based analyses, and practical guidance, it equips readers to navigate AI?s complexities responsibly, optimize clinical workflows, and ultimately improve patient outcomes. Whether you?re on the front lines of care or shaping the next generation of medical innovation, this book delivers the insights and frameworks needed to harness AI?s transformative potential. 410 0$aBiomedical Visualization,$x2731-6149 ;$v10 606 $aMedicine$xResearch 606 $aBiology$xResearch 606 $aArtificial intelligence 606 $aMachine learning 606 $aInformation visualization 606 $aBiomedical Research 606 $aArtificial Intelligence 606 $aMachine Learning 606 $aData and Information Visualization 615 0$aMedicine$xResearch. 615 0$aBiology$xResearch. 615 0$aArtificial intelligence. 615 0$aMachine learning. 615 0$aInformation visualization. 615 14$aBiomedical Research. 615 24$aArtificial Intelligence. 615 24$aMachine Learning. 615 24$aData and Information Visualization. 676 $a610.72 700 $aMalawana$b Johann$01886430 701 $aMalawana$01886431 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911049221303321 996 $aArtificial Intelligence in Healthcare and Biomedical Visualization$94521937 997 $aUNINA