Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Fredrik Strand"'
Publikováno v:
BMJ Open, Vol 14, Iss 2 (2024)
Background Understanding women’s perspectives can help to create an effective and acceptable artificial intelligence (AI) implementation for triaging mammograms, ensuring a high proportion of screening-detected cancer. This study aimed to explore S
Externí odkaz:
https://doaj.org/article/003a4aef671644a78ffc60082897a002
Autor:
Karin Dembrower, MD, Alessio Crippa, PhD, Eugenia Colón, MD, Martin Eklund, ProfPhD, Fredrik Strand, MD
Publikováno v:
The Lancet: Digital Health, Vol 5, Iss 10, Pp e703-e711 (2023)
Summary: Background: Artificial intelligence (AI) as an independent reader of screening mammograms has shown promise, but there are few prospective studies. Our aim was to conduct a prospective clinical trial to examine how AI affects cancer detectio
Externí odkaz:
https://doaj.org/article/3f9143e3a2c840b2a4fbe67c21950935
Autor:
Lidia Garrucho, Kaisar Kushibar, Richard Osuala, Oliver Diaz, Alessandro Catanese, Javier del Riego, Maciej Bobowicz, Fredrik Strand, Laura Igual, Karim Lekadir
Publikováno v:
Frontiers in Oncology, Vol 12 (2023)
Computer-aided detection systems based on deep learning have shown good performance in breast cancer detection. However, high-density breasts show poorer detection performance since dense tissues can mask or even simulate masses. Therefore, the sensi
Externí odkaz:
https://doaj.org/article/cd7cf61eba174b9aafd1a4d0cd05c641
Autor:
Anna Kistner, Chen Tamm, Ann Mari Svensson, Mats O. Beckman, Fredrik Strand, Magnus Sköld, Sven Nyrén
Publikováno v:
BMC Nephrology, Vol 22, Iss 1, Pp 1-10 (2021)
Abstract Background Kidney disease and renal failure are associated with hospital deaths in patients with COVID − 19. We aimed to test if contrast enhancement affects short-term renal function in hospitalized COVID − 19 patients. Methods Plasma c
Externí odkaz:
https://doaj.org/article/1742215ff8fd4ade8c8e02f8fc27392c
Autor:
Francesca Campoccia Jalde, Mats O. Beckman, Ann Mari Svensson, Max Bell, Magnus Sköld, Fredrik Strand, Sven Nyren, Anna Kistner
Publikováno v:
Frontiers in Medicine, Vol 8 (2021)
Purpose: Severe COVID-19 is associated with inflammation, thromboembolic disease, and high mortality. We studied factors associated with fatal outcomes in consecutive COVID-19 patients examined by computed tomography pulmonary angiogram (CTPA).Method
Externí odkaz:
https://doaj.org/article/0f2f2472c36f4c619ca5c9945ed1b339
Autor:
Fredrik Strand, Edward Azavedo, Roxanna Hellgren, Keith Humphreys, Mikael Eriksson, John Shepherd, Per Hall, Kamila Czene
Publikováno v:
Breast Cancer Research, Vol 21, Iss 1, Pp 1-9 (2019)
Abstract Background High mammographic density is associated with breast cancer and with delayed detection. We have examined whether localized density, at the site of the subsequent cancer, is independently associated with being diagnosed with a large
Externí odkaz:
https://doaj.org/article/4a72ebe777d24510ad6ac5d3a20fc905
Publikováno v:
BMC Medicine, Vol 17, Iss 1, Pp 1-9 (2019)
Abstract Background Breast cancer patients who have not previously attended mammography screening may be more likely to discontinue adjuvant hormone therapy and therefore have a worse disease prognosis. Methods We conducted a population-based cohort
Externí odkaz:
https://doaj.org/article/4ba3c78e3559444bb49cf1e30c68c619
Autor:
Fredrik Strand, Keith Humphreys, Johanna Holm, Mikael Eriksson, Sven Törnberg, Per Hall, Edward Azavedo, Kamila Czene
Publikováno v:
Breast Cancer Research, Vol 20, Iss 1, Pp 1-10 (2018)
Abstract Background Breast cancer prognosis is strongly associated with tumor size at diagnosis. We aimed to identify factors associated with diagnosis of large (> 2 cm) compared to small tumors, and to examine implications for long-term prognosis. M
Externí odkaz:
https://doaj.org/article/84681a0c20d541c9a8d55fc1a768820c
Autor:
Anna Kistner, Chen Tamm, Ann Mari Svensson, Mats O. Beckman, Fredrik Strand, Magnus Sköld, Sven Nyrén
Publikováno v:
BMC Nephrology, Vol 22, Iss 1, Pp 1-1 (2021)
Externí odkaz:
https://doaj.org/article/b0c84d6eb9fb46fb9dacb2e5001b6336
Autor:
Silvia Maria Prioli De Souza Sabino, David J. Sheedy, Gigin Lin, Constance D. Lehman, Thiago Buosi Silva, Bruno Souza, Siddharth Satuluru, Sharon Handelman-Gotlib, Michal Guindy, Kevin S. Hughes, Peter G. Mikhael, Bipin Karunakaran, Regina Barzilay, Lisa M Matthis, Karen E Hegarty, Judy Wawira Gichoya, Renato F Caron, Tal Patalon, Adam Yala, Thomas Kim, Hari Trivedi, Fredrik Strand, Maria C Evangelista, Imon Banerjee, Edmundo Carvalho Mauad
Publikováno v:
J Clin Oncol
PURPOSE Accurate risk assessment is essential for the success of population screening programs in breast cancer. Models with high sensitivity and specificity would enable programs to target more elaborate screening efforts to high-risk populations, w