Zobrazeno 1 - 10
of 205
pro vyhledávání: '"H Brekke"'
Autor:
Magnus Rogstadkjernet, Sigurd Z. Zha, Lars G. Klæboe, Camilla K. Larsen, John M. Aalen, Esther Scheirlynck, Bjørn-Jostein Singstad, Steven Droogmans, Bernard Cosyns, Otto A. Smiseth, Kristina H. Haugaa, Thor Edvardsen, Eigil Samset, Pål H. Brekke
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-10 (2024)
Abstract Background Speckle tracking echocardiography (STE) provides quantification of left ventricular (LV) deformation and is useful in the assessment of LV function. STE is increasingly being used clinically, and every effort to simplify and stand
Externí odkaz:
https://doaj.org/article/5d494022ecb341ab8768554221743f05
Autor:
Lars G. Klaeboe, Øyvind H. Lie, Pål H. Brekke, Gerhard Bosse, Einar Hopp, Kristina H. Haugaa, Thor Edvardsen
Publikováno v:
Biomedicines, Vol 12, Iss 2, p 420 (2024)
Clinical differentiation between athletes’ hearts and those with hypertrophic cardiomyopathy (HCM) can be challenging. We aimed to explore the role of speckle tracking echocardiography (STE) and cardiac magnetic resonance imaging (CMR) in the diffe
Externí odkaz:
https://doaj.org/article/77f4c925ee60496dba71390e7c512236
Autor:
Alba González, Kristina H. Haugaa, Pål H. Brekke, Einar Hopp, Stein Ørn, Silje Alvestad, Erik Taubøll, Dag Aurlien
Publikováno v:
Case Reports in Neurology, Vol 14, Iss 1, Pp 88-97 (2022)
High frequency of convulsive seizures and long-lasting epilepsy are associated with an increased risk of sudden unexpected death in epilepsy (SUDEP). Structural changes in the myocardium have been described in SUDEP victims. It is speculated that the
Externí odkaz:
https://doaj.org/article/cf7cfb77a09043fcb73491214d471974
Publikováno v:
Journal of Biomedical Semantics, Vol 12, Iss 1, Pp 1-11 (2021)
Abstract Background The limited availability of clinical texts for Natural Language Processing purposes is hindering the progress of the field. This article investigates the use of synthetic data for the annotation and automated extraction of family
Externí odkaz:
https://doaj.org/article/a711e3ff471a46f89b9894425b89a873
Autor:
Fredrik A. Dahl, Taraka Rama, Petter Hurlen, Pål H. Brekke, Haldor Husby, Tore Gundersen, Øystein Nytrø, Lilja Øvrelid
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 21, Iss 1, Pp 1-8 (2021)
Abstract Background With a motivation of quality assurance, machine learning techniques were trained to classify Norwegian radiology reports of paediatric CT examinations according to their description of abnormal findings. Methods 13.506 reports fro
Externí odkaz:
https://doaj.org/article/7edabe937ba64a1996174ce1aa1a66b5
Publikováno v:
Journal of Bone and Joint Infection, Vol 5, Pp 106-109 (2020)
Lactococcus garvieae is a fish pathogen, rarely causing opportunistic infections in humans. There are only a few cases reported in the literature, mainly endocarditis, suggesting an association with raw fish consumption. We report a case of a peripro
Externí odkaz:
https://doaj.org/article/62ce5a9273cb4bc5a00fa19ce4d8f2f6
Autor:
S Zha, M Rogstadkjernet, E S Scheirlynck, J M Aalen, C K Larsen, B Cosijns, S Droogmans, O A Smiseth, E Samset, T Edvardsen, P H Brekke
Publikováno v:
European Heart Journal. 43
Background Speckle tracking echocardiography provides quantification of myocardial deformation and is useful in the assessment of myocardial function. Right ventricular (RV) strain has been suggested as a sensitive tool for diagnosing cardiomyopathie
Publikováno v:
Geological Society, London, Memoirs. 57
This volume contains an unparalleled summary of the geology and hydrocarbon potential of all Arctic sedimentary successions. The successions are organised into 67 ‘tectono-sedimentary elements’ according to deformational and lithostratigraphic ch
Autor:
Lilja Øvrelid, Tore Gundersen, Haldor Husby, Fredrik A. Dahl, Øystein Nytrø, Pål H. Brekke, Petter Hurlen, Taraka Rama
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 21, Iss 1, Pp 1-8 (2021)
BMC Medical Informatics and Decision Making
BMC Medical Informatics and Decision Making
Background With a motivation of quality assurance, machine learning techniques were trained to classify Norwegian radiology reports of paediatric CT examinations according to their description of abnormal findings. Methods 13.506 reports from CT-scan
Autor:
Vibeke Binz, Vallevik, Pål H, Brekke
Publikováno v:
Tidsskrift for Den norske legeforening.
Research on health data is unfortunately guided by the available data rather than the clinical problems we need to solve. Clinically-related data are locked away in silos. As a result, both patients and research are losing out.