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German Medical Data Sciences 2021: Digital Medicine: Recognize - Understand - Heal. Proceedings of the Joint Conference of the 66th Annual Meeting of the German Association of Medical Informatics, Biometry, and Epidemiology e.V. (gmds) and the 13th Annual (en Inglés)
Bjorn Schreiweis;Ulrich Sax;Tim Beißbarth;Jochem Konig;Geraldine Rauch;Claudia Ose (Autor)
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IOS Press,US
· Tapa Blanda
German Medical Data Sciences 2021: Digital Medicine: Recognize - Understand - Heal. Proceedings of the Joint Conference of the 66th Annual Meeting of the German Association of Medical Informatics, Biometry, and Epidemiology e.V. (gmds) and the 13th Annual (en Inglés) - Bjorn Schreiweis;Ulrich Sax;Tim Beißbarth;Jochem Konig;Geraldine Rauch;Claudia Ose
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Reseña del libro "German Medical Data Sciences 2021: Digital Medicine: Recognize - Understand - Heal. Proceedings of the Joint Conference of the 66th Annual Meeting of the German Association of Medical Informatics, Biometry, and Epidemiology e.V. (gmds) and the 13th Annual (en Inglés)"
Digitization offers great potential – especially in medicine. Cross-domain and cross-institutional linkage, big data, artificial intelligence and robotics can all help to improve research and care, but they also pose new challenges to all those involved.This book presents the joint proceedings of the GMDS (German Medical Data Sciences) and TMF (its Technology, Methodology and Infrastructure platform), held entirely online from 26 – 30 September 2021 as a result of restrictions due to the Coronavirus pandemic. This joint event addresses the opportunities and risks of using new information technologies in medicine, as well as the resulting requirements for data protection, data security and ethics. Methodological challenges associated with the preparation, evaluation and interpretation of data volumes which constantly increase in type and scope in the course of digitization are also examined in detail.The 25 papers included here are divided into 5 sections: editorials; artificial intelligence and clinical decision support systems (CDSS); data integration and interoperability; human computer interaction; and software systems and frameworks, and the topics covered are very diverse, ranging from disease detection using retinal imaging, through data management and sharing, to interactive web applications. Providing an overview of regional research and developments in the field, the book will be of interest to all those working in health technology and medical informatics; researchers and practitioners alike.
Digitization offers great potential – especially in medicine. Cross-domain and cross-institutional linkage, big data, artificial intelligence and robotics can all help to improve research and care, but they also pose new challenges to all those involved. This book presents the joint proceedings of the GMDS (German Medical Data Sciences) and TMF (its Technology, Methodology and Infrastructure platform), held entirely online from 26 – 30 September 2021 as a result of restrictions due to the Coronavirus pandemic. This joint event addresses the opportunities and risks of using new information technologies in medicine, as well as the resulting requirements for data protection, data security and ethics. Methodological challenges associated with the preparation, evaluation and interpretation of data volumes which constantly increase in type and scope in the course of digitization are also examined in detail. The 25 papers included here are divided into 5 sections: editorials; artificial intelligence and clinical decision support systems (CDSS); data integration and interoperability; human computer interaction; and software systems and frameworks, and the topics covered are very diverse, ranging from disease detection using retinal imaging, through data management and sharing, to interactive web applications. Providing an overview of regional research and developments in the field, the book will be of interest to all those working in health technology and medical informatics; researchers and practitioners alike.
