國立虎尾科技大學 |

Exploring AI in pain research and management

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Exploring AI in pain research and management/ by Marco Cascella.
Author:	Cascella, Marco.
Published:	Cham :Springer Nature Switzerland : : 2024.,
Description:	xi, 103 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer Nature eBook
Subject:	Pain - Research. -
Online resource:	https://doi.org/10.1007/978-3-031-78833-8
ISBN:	9783031788338

Exploring AI in pain research and management
Cascella, Marco.

Exploring AI in pain research and management[electronic resource] /by Marco Cascella. - Cham :Springer Nature Switzerland :2024. - xi, 103 p. :ill. (some col.), digital ;24 cm.

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.

ISBN: 9783031788338

Standard No.: 10.1007/978-3-031-78833-8doiSubjects--Topical Terms:

1164131
Pain
--Research.

LC Class. No.: RB127

Dewey Class. No.: 616.0472

Exploring AI in pain research and management
LDR:02999nam a2200325 a 4500 001 1153160
003 DE-He213
005 20250125115237.0
006 m o d
007 cr nn 008maaau
008 250618s2024 sz s 0 eng d
020 $a 9783031788338 $q (electronic bk.)
020 $a 9783031788321 $q (paper)
024 7 $a 10.1007/978-3-031-78833-8 $2 doi
035 $a 978-3-031-78833-8
040 $a GP $c GP
041 0 $a eng
050 4 $a RB127
072 7 $a MMBP $2 bicssc
072 7 $a MED093000 $2 bisacsh
072 7 $a MKAL $2 thema
082 0 4 $a 616.0472 $2 23
090 $a RB127 $b .C336 2024
100 1 $a Cascella, Marco. $3 1111863
245 1 0 $a Exploring AI in pain research and management $h [electronic resource] / $c by Marco Cascella.
260 $a Cham : $c 2024. $b Springer Nature Switzerland : $b Imprint: Springer,
300 $a xi, 103 p. : $b ill. (some col.), digital ; $c 24 cm.
505 0 $a 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.
520 $a 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.
650 0 $a Pain $x Research. $3 1164131
650 0 $a Pain medicine. $3 790323
650 0 $a Artificial intelligence $x Medical applications. $3 600038
650 1 4 $a Pain Medicine. $3 669117
650 2 4 $a Artificial Intelligence. $3 646849
650 2 4 $a Oncology. $3 593951
650 2 4 $a Anesthesiology. $3 645681
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-031-78833-8
950 $a Medicine (SpringerNature-11650)