Zobrazeno 1 - 10
of 159
pro vyhledávání: '"Daniel Pinto, Dos Santos"'
Autor:
Moreno Zanardo, Jacob J. Visser, Anna Colarieti, Renato Cuocolo, Michail E. Klontzas, Daniel Pinto dos Santos, Francesco Sardanelli, European Society of Radiology (ESR)
Publikováno v:
Insights into Imaging, Vol 15, Iss 1, Pp 1-13 (2024)
Abstract In order to assess the perceptions and expectations of the radiology staff about artificial intelligence (AI), we conducted an online survey among ESR members (January–March 2024). It was designed considering that conducted in 2018, update
Externí odkaz:
https://doaj.org/article/426d3bd7f8e549ed99e3e7a50d9a6196
Autor:
Iris Burck, Ibrahim Yel, Simon Martin, Moritz H. Albrecht, Vitali Koch, Christian Booz, Daniel Pinto dos Santos, Benjamin Kaltenbach, Hanns Ackermann, Juha Koivisto, Silke Helbig, Timo Stöver, Thomas J. Vogl, Jan-Erik Scholtz
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-10 (2024)
Abstract Background To compare the diagnostic value of 120-kV with conventional 96-kV Cone-Beam CT (CBCT) of the temporal bone after cochlear implant (CI) surgery. Methods This retrospective study included CBCT scans after CI surgery between 06/17 an
Externí odkaz:
https://doaj.org/article/9fe6687b4206420b9574a80222de4315
Autor:
Lukas Müller, Aline Mähringer-Kunz, Timo Alexander Auer, Uli Fehrenbach, Bernhard Gebauer, Johannes Haubold, Benedikt Michael Schaarschmidt, Moon-Sung Kim, René Hosch, Felix Nensa, Jens Kleesiek, Thierno D. Diallo, Michel Eisenblätter, Hanna Kuzior, Natascha Roehlen, Dominik Bettinger, Verena Steinle, Philipp Mayer, David Zopfs, Daniel Pinto Dos Santos, Roman Kloeckner
Publikováno v:
JHEP Reports, Vol 6, Iss 8, Pp 101125- (2024)
Background & Aims: Body composition assessment (BCA) parameters have recently been identified as relevant prognostic factors for patients with hepatocellular carcinoma (HCC). Herein, we aimed to investigate the role of BCA parameters for prognosis pr
Externí odkaz:
https://doaj.org/article/9af406ac32014511b14213ed8dd2575c
Autor:
Philipp Fervers, Robert Hahnfeldt, Jonathan Kottlors, Anton Wagner, David Maintz, Daniel Pinto dos Santos, Simon Lennartz, Thorsten Persigehl
Publikováno v:
Frontiers in Radiology, Vol 4 (2024)
BackgroundTo investigate the feasibility of the large language model (LLM) ChatGPT for classifying liver lesions according to the Liver Imaging Reporting and Data System (LI-RADS) based on MRI reports, and to compare classification performance on str
Externí odkaz:
https://doaj.org/article/f754191a68f646aebd8c9285b80a0c11
Autor:
Adrian P. Brady, Bibb Allen, Jaron Chong, Elmar Kotter, Nina Kottler, John Mongan, Lauren Oakden-Rayner, Daniel Pinto dos Santos, An Tang, Christoph Wald, John Slavotinek
Publikováno v:
Insights into Imaging, Vol 15, Iss 1, Pp 1-19 (2024)
Abstract Artificial Intelligence (AI) carries the potential for unprecedented disruption in radiology, with possible positive and negative consequences. The integration of AI in radiology holds the potential to revolutionize healthcare practices by a
Externí odkaz:
https://doaj.org/article/a0270d79cf654afb80e58b7ac7183bff
Autor:
Burak Kocak, Tugba Akinci D’Antonoli, Nathaniel Mercaldo, Angel Alberich-Bayarri, Bettina Baessler, Ilaria Ambrosini, Anna E. Andreychenko, Spyridon Bakas, Regina G. H. Beets-Tan, Keno Bressem, Irene Buvat, Roberto Cannella, Luca Alessandro Cappellini, Armando Ugo Cavallo, Leonid L. Chepelev, Linda Chi Hang Chu, Aydin Demircioglu, Nandita M. deSouza, Matthias Dietzel, Salvatore Claudio Fanni, Andrey Fedorov, Laure S. Fournier, Valentina Giannini, Rossano Girometti, Kevin B. W. Groot Lipman, Georgios Kalarakis, Brendan S. Kelly, Michail E. Klontzas, Dow-Mu Koh, Elmar Kotter, Ho Yun Lee, Mario Maas, Luis Marti-Bonmati, Henning Müller, Nancy Obuchowski, Fanny Orlhac, Nikolaos Papanikolaou, Ekaterina Petrash, Elisabeth Pfaehler, Daniel Pinto dos Santos, Andrea Ponsiglione, Sebastià Sabater, Francesco Sardanelli, Philipp Seeböck, Nanna M. Sijtsema, Arnaldo Stanzione, Alberto Traverso, Lorenzo Ugga, Martin Vallières, Lisanne V. van Dijk, Joost J. M. van Griethuysen, Robbert W. van Hamersvelt, Peter van Ooijen, Federica Vernuccio, Alan Wang, Stuart Williams, Jan Witowski, Zhongyi Zhang, Alex Zwanenburg, Renato Cuocolo
Publikováno v:
Insights into Imaging, Vol 15, Iss 1, Pp 1-18 (2024)
Abstract Purpose To propose a new quality scoring tool, METhodological RadiomICs Score (METRICS), to assess and improve research quality of radiomics studies. Methods We conducted an online modified Delphi study with a group of international experts.
Externí odkaz:
https://doaj.org/article/84735d3b21f949ab8a02d96fb603cc0c
Autor:
Erkan Celik, Lukas Goertz, Joern Henze, Markus Schütz, Ben Mink, Sebastian Brinkmann, Hans-Ulrich Laasch, Annette M. Schmidt, Holger Grüll, David Maintz, Roman Kloeckner, Florian Lorenz, Daniel Pinto dos Santos, Seung-Hun Chon
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-7 (2023)
Abstract Percutaneous drainage is a first-line therapy for abscesses and other fluid collections. However, experimental data on the viscosity of body fluids are scarce. This study analyses the apparent viscosity of serous, purulent and biliary fluids
Externí odkaz:
https://doaj.org/article/f1cfd8d8d11646a7b69ea3d24033a9f6
Autor:
Andreas M. Bucher, Adrian Koppold, Mattias Kettner, Sarah Kölzer, Julia Dietz, Eric Frodl, Alexey Surov, Daniel Pinto dos Santos, Thomas J. Vogl, Marcel A. Verhoff, Martin Beeres, Constantin Lux, Sara Heinbuch
Publikováno v:
Bioengineering, Vol 11, Iss 8, p 807 (2024)
Background: The purpose of this study was to establish a standardized structured workflow to compare findings from high-resolution, optimized reconstructions from post-mortem computed tomography (pmCT) with autopsy results in the detection of fractur
Externí odkaz:
https://doaj.org/article/7182cb992f224c388e1160c69b748148
Autor:
Mohammad H. Rezazade Mehrizi, Ferdinand Mol, Marcel Peter, Erik Ranschaert, Daniel Pinto Dos Santos, Ramin Shahidi, Mansoor Fatehi, Thomas Dratsch
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-14 (2023)
Abstract Various studies have shown that medical professionals are prone to follow the incorrect suggestions offered by algorithms, especially when they have limited inputs to interrogate and interpret such suggestions and when they have an attitude
Externí odkaz:
https://doaj.org/article/d9183b2a568a4e4d88eb6a299e9ec50f
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-13 (2023)
Abstract As the enthusiasm surrounding Deep Learning grows, both medical practitioners and regulatory bodies are exploring ways to safely introduce image segmentation in clinical practice. One frontier to overcome when translating promising research
Externí odkaz:
https://doaj.org/article/442049165b6b44fa8ac11f1a8fed4777