Zobrazeno 1 - 10
of 39 141
pro vyhledávání: '"diagnostic-accuracy"'
Publikováno v:
Clinical Diabetes and Endocrinology, Vol 10, Iss 1, Pp 1-9 (2024)
Abstract Background Metabolic-associated fatty liver disease (MAFLD) is a major public health problem worldwide. This study aimed to determine the prevalence of MAFLD and evaluate the diagnostic accuracy of the Fatty Liver Index (FLI) compared to ult
Externí odkaz:
https://doaj.org/article/d0c89c8844f849e38383fce872630a27
Publikováno v:
BMC Medical Research Methodology, Vol 24, Iss 1, Pp 1-14 (2024)
Abstract Background Latent class models can be used to estimate diagnostic accuracy without a gold standard test. Early studies often assumed independence between tests given the true disease state, however this can lead to biased estimates when ther
Externí odkaz:
https://doaj.org/article/8463ca095fb14d1a935226791dd9a950
Publikováno v:
European Urology Open Science, Vol 70, Iss , Pp 158-166 (2024)
Background and objective: Our objective was to assess whether GeneXpert BC can be used as a triage test to exclude urinary bladder cancer (UBC) for patients with macroscopic hematuria. Methods: We conducted a prospective study that include consecutiv
Externí odkaz:
https://doaj.org/article/0f87c700bb514bc78e79f9b70bf97639
Publikováno v:
Journal of Family Medicine and Primary Care, Vol 13, Iss 11, Pp 5296-5300 (2024)
Context: Gestational diabetes mellitus (GDM) is a major concern in recent years. During pregnancy, it is difficult to consume 75 g of glucose in the fasting state as pregnant women may experience symptoms such as vomiting. The Diabetes in Pregnancy S
Externí odkaz:
https://doaj.org/article/cc9dcb6d7fbd482f86d01633b6f8a290
Publikováno v:
International Journal of Electronics and Telecommunications, Vol vol. 70, Iss No 4, Pp 879-886 (2024)
The article explores deep learning models in urological diagnostics to measure urinary bladder volume from medical images. It addresses the shortcomings of traditional methods by introducing advanced imaging techniques for more objective and precise
Externí odkaz:
https://doaj.org/article/4b1796d75d96422992f2a510600ad2d1
Autor:
Chulho Kim, Minjae Kang, Woon Tak Yuh, Seung-Lee Lee, Jae Jun Lee, Jong-Uk Hou, Suk Hyung Kang
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract Magnetic resonance imaging remains the gold standard for diagnosing osteoporotic vertebral compression fractures (OVCF), but the use of X-ray imaging, particularly anteroposterior (AP) and lateral views, is prevalent due to its accessibility
Externí odkaz:
https://doaj.org/article/edaae7c60572407a92389791cbba61db
Publikováno v:
Therapeutics and Clinical Risk Management, Vol Volume 20, Pp 761-773 (2024)
Hua Wang,1 Jichong Ying,2 Jianlei Liu,2 Tianming Yu,2 Dichao Huang2 1Department of Medical Imaging, Ningbo No.6 hospital, Ningbo, People’s Republic of China; 2Department of Orthopedics, Ningbo No.6 hospital, Ningbo, People’s Republic of ChinaCorr
Externí odkaz:
https://doaj.org/article/7a1cf1d9e3cf462484d6fb79ea086c05
Publikováno v:
International Journal of General Medicine, Vol Volume 17, Pp 5417-5422 (2024)
Takanobu Hirosawa,1,* Tomoharu Suzuki,2,* Tastuya Shiraishi,3,* Arisa Hayashi,1,* Yoichi Fujii,4,* Taku Harada,1,4,* Taro Shimizu1,* 1Department of Diagnostic and Generalist Medicine, Dokkyo Medical University, Tochigi, Ja
Externí odkaz:
https://doaj.org/article/9569dd188da149c2b15685aa8a453be6
Autor:
Taewon Han, Woo Kyoung Jeong, Jaeseung Shin, Dong Ik Cha, Kyowon Gu, Jinsoo Rhu, Jong Man Kim, Gyu-Seong Choi
Publikováno v:
Ultrasonography, Vol 43, Iss 6, Pp 469-477 (2024)
Purpose This study aimed to determine whether micro-flow imaging (MFI) offers diagnostic performance comparable to that of contrast-enhanced ultrasonography (CEUS) in detecting segmental congestion among patients undergoing living donor liver transpl
Externí odkaz:
https://doaj.org/article/30d6b2b3bd6944a083b4a3b01844ec88
Autor:
Rosmarie Breu, Carolina Avelar, Zsolt Bertalan, Johannes Grillari, Heinz Redl, Richard Ljuhar, Stefan Quadlbauer, Thomas Hausner
Publikováno v:
Bone & Joint Research, Vol 13, Iss 10, Pp 588-595 (2024)
Aims: The aim of this study was to create artificial intelligence (AI) software with the purpose of providing a second opinion to physicians to support distal radius fracture (DRF) detection, and to compare the accuracy of fracture detection of physi
Externí odkaz:
https://doaj.org/article/467a4d54a3e94e08a4a3e60f84ceacde