Zobrazeno 1 - 10
of 385
pro vyhledávání: '"Jákob N"'
Autor:
Nicolas Carl, Lisa Nguyen, Sarah Haggenmüller, Martin Joachim Hetz, Jana Theres Winterstein, Friedrich Otto Hartung, Britta Gruene, Jakob Nikolas Kather, Tim Holland-Letz, Maurice Stephan Michel, Frederik Wessels, Titus Josef Brinker
Publikováno v:
European Urology Open Science, Vol 70, Iss , Pp 91-98 (2024)
Background and objective: Data on interaction of patients with artificial intelligence (AI) are limited, primarily derived from small-scale studies, cross-sectional surveys, and qualitative reviews. Most patients have not yet encountered AI in their
Externí odkaz:
https://doaj.org/article/96461ba44349479bb2fe3a10c3b55b80
Autor:
Jakob Nyvad, Kent Lodberg Christensen, Gratien Andersen, Mark Reinhard, Bjarne Linde Nørgaard, Jonna Skov Madsen, Sebastian Nielsen, Martin Bjergskov Thomsen, Jesper Møller Jensen, Christian Daugaard Peters, Niels Henrik Buus
Publikováno v:
BMC Nephrology, Vol 25, Iss 1, Pp 1-10 (2024)
Abstract Background Patients with chronic kidney disease (CKD) are susceptible to vascular calcification and vitamin K deficiency. Matrix gla protein (MGP) is a potent inhibitor of calcification requiring vitamin K for activation. Inactive MGP, i.e.
Externí odkaz:
https://doaj.org/article/1d144fd7b74f4d0ca3196ff22a8840c6
Autor:
Dyke Ferber, Georg Wölflein, Isabella C. Wiest, Marta Ligero, Srividhya Sainath, Narmin Ghaffari Laleh, Omar S. M. El Nahhas, Gustav Müller-Franzes, Dirk Jäger, Daniel Truhn, Jakob Nikolas Kather
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-12 (2024)
Abstract Medical image classification requires labeled, task-specific datasets which are used to train deep learning networks de novo, or to fine-tune foundation models. However, this process is computationally and technically demanding. In language
Externí odkaz:
https://doaj.org/article/3fa7eb85942f4c83b6c9d066cad3cbe7
Publikováno v:
JHEP Reports, Vol 6, Iss 12, Pp 101209- (2024)
Summary: Artificial intelligence (AI) methods enable humans to analyse large amounts of data, which would otherwise not be feasibly quantifiable. This is especially true for unstructured visual and textual data, which can contain invaluable insights
Externí odkaz:
https://doaj.org/article/ff6718556b6c42fd90dd5b56af115b97
Autor:
Katherine J Hewitt, Isabella C Wiest, Zunamys I Carrero, Laura Bejan, Thomas O Millner, Sebastian Brandner, Jakob Nikolas Kather
Publikováno v:
The Journal of Pathology: Clinical Research, Vol 10, Iss 6, Pp n/a-n/a (2024)
Abstract The WHO guidelines for classifying central nervous system (CNS) tumours are changing considerably with each release. The classification of CNS tumours is uniquely complex among most other solid tumours as it incorporates not just morphology,
Externí odkaz:
https://doaj.org/article/363a7200ce284f97bacc51811e1125fe
Publikováno v:
New Journal of Physics, Vol 26, Iss 11, p 113016 (2024)
Partially synchronized solitary states occur frequently when a synchronized system of networked oscillators with inertia is perturbed locally. Several asymptotic states of different frequencies can coexist at the same node. Here, we reveal the mechan
Externí odkaz:
https://doaj.org/article/4499f228824046c3982288ea1b4ba171
Autor:
Narmin Ghaffari Laleh, Daniel Truhn, Gregory Patrick Veldhuizen, Tianyu Han, Marko van Treeck, Roman D. Buelow, Rupert Langer, Bastian Dislich, Peter Boor, Volkmar Schulz, Jakob Nikolas Kather
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-10 (2022)
Artificial Intelligence can support diagnostic workflows in oncology, but they are vulnerable to adversarial attacks. Here, the authors show that convolutional neural networks are highly susceptible to white- and black-box adversarial attacks in clin
Externí odkaz:
https://doaj.org/article/f6580ad98aea4da49e7134c3816a8c59
Autor:
Jon Olinder, Alex Börjesson, Jakob Norrman, Tobias West, Joakim Carlström, Alexander Gustafsson, Martin Annborn, Heiko Herwald, Cecilia Rydén
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-16 (2022)
Abstract Initial differential diagnosis and prognosis for patients admitted to intensive care with suspected sepsis remain arduous. Hepcidin has emerged as a potential biomarker for sepsis. Here we report data on the relevance of levels of hepcidin v
Externí odkaz:
https://doaj.org/article/7c9394e79e934afa84b5e3a85ec00815
Publikováno v:
npj Digital Medicine, Vol 5, Iss 1, Pp 1-5 (2022)
The text-guided diffusion model GLIDE (Guided Language to Image Diffusion for Generation and Editing) is the state of the art in text-to-image generative artificial intelligence (AI). GLIDE has rich representations, but medical applications of this m
Externí odkaz:
https://doaj.org/article/383164f388ea4d98b848c2e28d3f24eb
Autor:
Lukas Buendgens, Didem Cifci, Narmin Ghaffari Laleh, Marko van Treeck, Maria T. Koenen, Henning W. Zimmermann, Till Herbold, Thomas Joachim Lux, Alexander Hann, Christian Trautwein, Jakob Nikolas Kather
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-13 (2022)
Abstract Artificial intelligence (AI) is widely used to analyze gastrointestinal (GI) endoscopy image data. AI has led to several clinically approved algorithms for polyp detection, but application of AI beyond this specific task is limited by the hi
Externí odkaz:
https://doaj.org/article/7e5165609ff04e3d86e9ed2455175e99