03533nam a22004575i 4500001001800000003000900018005001700027007001500044008004100059020001800100024003500118050001000153072001700163072002300180072001600203100007800219245009400297250001800391264006900409300005300478336002600531337002600557338003600583347002400619505020900643520184500852650001902697650002902716650001402745650002002759650001902779650002902798650001402827650002002841710003402861773002602895776003602921776003602957776003602993856004603029978-3-031-78833-8DE-He21320251030114931.0cr nn 008mamaa250125s2024    sz |    s    |||| 0|eng d  a97830317883387 a10.1007/978-3-031-78833-82doi 4aRB127 7aMMBP2bicssc 7aMED0930002bisacsh 7aMKAL2thema1 aCascella, Marco.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut10aExploring AI in Pain Research and Managementh[electronic resource] /cby Marco Cascella.  a1st ed. 2024. 1aCham :bSpringer Nature Switzerland :bImprint: Springer,c2024.  aXI, 103 p. 10 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda0 aIntroduction -- Basic Knowledge of AI for Clinicians -- Research in Automatic Pain Assessment -- Clinical Applications of AI in Pain Medicine -- Suggestions for APA Research and Translational Perspective.  aThe book presents a unique and structured interdisciplinary approach, integrating insights from medicine, computer science, bioengineering, and other relevant fields. Due to this distinctive feature, the book offers a comprehensive exploration of the intricate relationship between potential AI applications and pain research and management. For example, one of its key aims is to provide valuable knowledge about AI for clinicians who may have limited familiarity with the subject, as well as for professionals in computer science and engineering. This approach is aimed at bridging the existing gap between these fields, offering clinicians insights into AI's potential applications, and providing computer scientists and engineers with a translational perspective on the practical needs in the clinical context. As widely demonstrated, the practical application of research faces a serious obstacle related to the limited communication and collaboration between research areas that are often very distant from each other. Therefore, this dual perspective could be useful to collocate the book as a valuable tool for fostering collaboration and understanding between these traditionally distinct domains. Furthermore, the structured framework of the book could not only facilitate learning but also serve as a foundation for future projects in the realm of AI and medicine. Specifically, it will be developed by following a framework useful for additional editorial projects, focusing more acutely on AI applications in anesthesia and critical care. By doing so, the book aims to contribute to the ongoing discourse and advancements in these specialized areas, filling a gap in the current literature. Therefore, the book seeks to make a meaningful contribution to the integration of AI in pain medicine, but also in other medical fields. 0aPain medicine. 0aArtificial intelligence. 0aOncology. 0aAnesthesiology.14aPain Medicine.24aArtificial Intelligence.24aOncology.24aAnesthesiology.2 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303178832108iPrinted edition:z978303178834508iPrinted edition:z978303178835240uhttps://doi.org/10.1007/978-3-031-78833-8