03864nam a22005415i 4500 978-3-031-78833-8 DE-He213 20251030114931.0 cr nn 008mamaa 250125s2024 sz | s |||| 0|eng d 9783031788338 978-3-031-78833-8 10.1007/978-3-031-78833-8 doi RB127 MMBP bicssc MED093000 bisacsh MKAL thema Cascella, Marco. author. aut http://id.loc.gov/vocabulary/relators/aut 90446 Exploring AI in Pain Research and Management [electronic resource] / by Marco Cascella. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XI, 103 p. 10 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Introduction -- 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. The 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. Pain medicine. Artificial intelligence. 58441 Oncology. 70760 Anesthesiology. 73197 Pain Medicine. Artificial Intelligence. 58441 Oncology. 70760 Anesthesiology. 73197 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031788321 Printed edition: 9783031788345 Printed edition: 9783031788352 https://doi.org/10.1007/978-3-031-78833-8 ZDB-2-SME ZDB-2-SXM 66517 66517