Exploring AI in Pain Research and Management
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Beschreibung
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.
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.
Integrates insights from diverse fields such as medicine, computer science, bioengineering and other disciplines Provides basic knowledge about AI to all those clinicians who are not deeply familiar with the subject Ensures a comprehensive exploration of the complex relationship of AI in the field of pain research and management
Autor*in
Marco Cascella
Themen in »Exploring AI in Pain Research and Management«
Automatic Pain Assessment Cancer Pain Machine Learning Biosignals Telemedicine/telehealth