Zobrazeno 1 - 10
of 76
pro vyhledávání: '"DANA LI"'
Autor:
Weifeng Di, Sijia Zhang, Xing Lian, Mohamed Oubibi, Dana Li, Lisi Ding, Zhujia Zhang, Tianping Yang
Publikováno v:
Frontiers in Psychology, Vol 13 (2022)
With the closer China-Africa relations and the vigorous development of the country’s education for international students, the number of African students studying in China has surged, and the difficulty of education management in colleges and unive
Externí odkaz:
https://doaj.org/article/b1a2f3e3d6a6482d9c300a1fe821393b
Autor:
Dana Li, Lea Marie Pehrson, Rasmus Bonnevie, Marco Fraccaro, Jakob Thrane, Lea Tøttrup, Carsten Ammitzbøl Lauridsen, Sedrah Butt Balaganeshan, Jelena Jankovic, Tobias Thostrup Andersen, Alyas Mayar, Kristoffer Lindskov Hansen, Jonathan Frederik Carlsen, Sune Darkner, Michael Bachmann Nielsen
Publikováno v:
Diagnostics, Vol 13, Iss 6, p 1070 (2023)
A chest X-ray report is a communicative tool and can be used as data for developing artificial intelligence-based decision support systems. For both, consistent understanding and labeling is important. Our aim was to investigate how readers would com
Externí odkaz:
https://doaj.org/article/c5bc1d8aa10645a5ae6a02206b6ca006
Autor:
Dana Li, Lea Marie Pehrson, Lea Tøttrup, Marco Fraccaro, Rasmus Bonnevie, Jakob Thrane, Peter Jagd Sørensen, Alexander Rykkje, Tobias Thostrup Andersen, Henrik Steglich-Arnholm, Dorte Marianne Rohde Stærk, Lotte Borgwardt, Kristoffer Lindskov Hansen, Sune Darkner, Jonathan Frederik Carlsen, Michael Bachmann Nielsen
Publikováno v:
Diagnostics, Vol 12, Iss 12, p 3112 (2022)
Consistent annotation of data is a prerequisite for the successful training and testing of artificial intelligence-based decision support systems in radiology. This can be obtained by standardizing terminology when annotating diagnostic images. The p
Externí odkaz:
https://doaj.org/article/7486627be9e549c5a7d73f768d8bf787
Autor:
Dana Li, Lea Marie Pehrson, Carsten Ammitzbøl Lauridsen, Lea Tøttrup, Marco Fraccaro, Desmond Elliott, Hubert Dariusz Zając, Sune Darkner, Jonathan Frederik Carlsen, Michael Bachmann Nielsen
Publikováno v:
Diagnostics, Vol 11, Iss 12, p 2206 (2021)
Our systematic review investigated the additional effect of artificial intelligence-based devices on human observers when diagnosing and/or detecting thoracic pathologies using different diagnostic imaging modalities, such as chest X-ray and CT. Peer
Externí odkaz:
https://doaj.org/article/901abb2228944cfcb0ac54e6029a41e9
Autor:
Alexander Malcolm Rykkje, Dana Li, Jane Skjøth-Rasmussen, Vibeke Andrée Larsen, Michael Bachmann Nielsen, Adam Espe Hansen, Jonathan Frederik Carlsen
Publikováno v:
Diagnostics, Vol 11, Iss 8, p 1344 (2021)
For the radiological assessment of resection of high-grade gliomas, a 72-h diagnostic window is recommended to limit surgically induced contrast enhancements. However, such enhancements may occur earlier than 72 h post-surgery. This systematic review
Externí odkaz:
https://doaj.org/article/f2b277b31a1e4642957782895855faea
Autor:
Jakob Schroder, Olivier Bouaziz, Bue Ross Agner, Torben Martinussen, Per Lav Madsen, Dana Li, Ulrik Dixen
Publikováno v:
PLoS ONE, Vol 14, Iss 6, p e0217983 (2019)
BackgroundIn patients with paroxysmal atrial fibrillation (PAF) or persistent atrial fibrillation (PeAF) symptom burden and fear of hospital readmission are major causes of reduced quality of life. We attempted to develop a prediction model for futur
Externí odkaz:
https://doaj.org/article/1b21f3d6f3a34d1ab73377c394b1a0eb
Publikováno v:
Clin Med (Lond)
Over 50 systemic conditions may affect the pleura and, thus, unilateral pleural effusions may present for a variety of reasons. Investigating the cause is essential to providing appropriate management. Various pleural interventions are available in c
Publikováno v:
Healthcare (Basel, Switzerland). 10(10)
The incidence of pleural disease is increasing, and interventions are crucial in this subspecialist area of respiratory medicine. One of the cornerstones of pleural effusion investigation and management is medical, which is also known as local anaest
Publikováno v:
Open Medicine, Vol 16, Iss 1, Pp 464-471 (2021)
Open Medicine
Open Medicine
Gestational diabetes mellitus (GDM) is a metabolic dysregulation closely related to both obesity and type 2 diabetes; however, the molecular mechanism underlying GDM is still unclear. The purpose of this study was to investigate the effects of microR
Autor:
Lea Marie Pehrson, Lea Tøttrup, Desmond Elliott, Hubert Dariusz Zając, Carsten Ammitzbøl Lauridsen, Sune Darkner, Michael Bachmann Nielsen, Marco Fraccaro, Dana Li, Jonathan Frederik Carlsen
Publikováno v:
Diagnostics, Vol 11, Iss 2206, p 2206 (2021)
Li, D, Pehrson, L M, Lauridsen, C A, Tøttrup, L, Fraccaro, M, Elliott, D, Zając, H D, Darkner, S, Carlsen, J F & Nielsen, M B 2021, ' The added effect of artificial intelligence on physicians’ performance in detecting thoracic pathologies on CT and chest X-ray : A systematic review ', Diagnostics, vol. 11, no. 12, 2206 . https://doi.org/10.3390/diagnostics11122206
Diagnostics
Li, D, Pehrson, L M, Lauridsen, C A, Tøttrup, L, Fraccaro, M, Elliott, D, Zając, H D, Darkner, S, Carlsen, J F & Nielsen, M B 2021, ' The added effect of artificial intelligence on physicians’ performance in detecting thoracic pathologies on CT and chest X-ray : A systematic review ', Diagnostics, vol. 11, no. 12, 2206 . https://doi.org/10.3390/diagnostics11122206
Diagnostics
Our systematic review investigated the additional effect of artificial intelligence-based devices on human observers when diagnosing and/or detecting thoracic pathologies using different diagnostic imaging modalities, such as chest X-ray and CT. Peer