Your browser doesn't support javascript.
loading
Artificial intelligence tools in clinical neuroradiology: essential medico-legal aspects.
Hedderich, Dennis M; Weisstanner, Christian; Van Cauter, Sofie; Federau, Christian; Edjlali, Myriam; Radbruch, Alexander; Gerke, Sara; Haller, Sven.
Afiliação
  • Hedderich DM; Department of Neuroradiology, Klinikum Rechts Der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany. dennis.hedderich@tum.de.
  • Weisstanner C; Medical Radiological Institute, Bahnhofplatz 3, Zurich, 8001, Switzerland.
  • Van Cauter S; Department of Medical Imaging, Ziekenhuis Oost-Limburg Genk, Schiepse Bos 6, 3600, Genk, Belgium.
  • Federau C; Department of Radiology, University Hospitals Leuven, Herestraat 49, 3000, Louvain, Belgium.
  • Edjlali M; Division of Medicine and Life Sciences, Department Neurosciences, Hasselt University, Campus Diepenbeek, Agoralaan Building D, 3590, Diepenbeek, Belgium.
  • Radbruch A; AI Medical, Goldhaldenstr 22a, CH-8702, Zollikon, Switzerland.
  • Gerke S; Faculty of Medicine, University of Zürich, Pestalozzistrasse 3. CH-8032, Zurich, Switzerland.
  • Haller S; Department of Radiology, APHP, Hôpitaux Raymond-Poincaré & Ambroise Paré, DMU Smart Imaging, GH Université Paris-Saclay, U 1179 UVSQ/Paris-Saclay, Paris, France.
Neuroradiology ; 65(7): 1091-1099, 2023 Jul.
Article em En | MEDLINE | ID: mdl-37160454
Commercial software based on artificial intelligence (AI) is entering clinical practice in neuroradiology. Consequently, medico-legal aspects of using Software as a Medical Device (SaMD) become increasingly important. These medico-legal issues warrant an interdisciplinary approach and may affect the way we work in daily practice. In this article, we seek to address three major topics: medical malpractice liability, regulation of AI-based medical devices, and privacy protection in shared medical imaging data, thereby focusing on the legal frameworks of the European Union and the USA. As many of the presented concepts are very complex and, in part, remain yet unsolved, this article is not meant to be comprehensive but rather thought-provoking. The goal is to engage clinical neuroradiologists in the debate and equip them to actively shape these topics in the future.
Assuntos
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Imperícia Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Imperícia Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article