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1.
The influence of artificial intelligence assistance on the diagnostic performance of CCTA for coronary stenosis for radiologists with different levels of experience.
Acta Radiol
; 64(2): 496-507, 2023 Feb.
Artículo
en Inglés
| MEDLINE | ID: mdl-35389276
2.
Artificial intelligence stenosis diagnosis in coronary CTA: effect on the performance and consistency of readers with less cardiovascular experience.
BMC Med Imaging
; 22(1): 28, 2022 02 17.
Artículo
en Inglés
| MEDLINE | ID: mdl-35177029
3.
Diagnostic Performance of Angiography-Derived Quantitative Flow Ratio in Complex Coronary Lesions.
Circ Cardiovasc Imaging
; 17(3): e016046, 2024 03.
Artículo
en Inglés
| MEDLINE | ID: mdl-38502735
4.
Contrastive Learning for Prediction of Alzheimer's Disease Using Brain 18F-FDG PET.
IEEE J Biomed Health Inform
; PP2022 Dec 26.
Artículo
en Inglés
| MEDLINE | ID: mdl-37015664
5.
Estimation of malignancy of pulmonary nodules at CT scans: Effect of computer-aided diagnosis on diagnostic performance of radiologists.
Asia Pac J Clin Oncol
; 17(3): 216-221, 2021 Jun.
Artículo
en Inglés
| MEDLINE | ID: mdl-32757455
6.
Prognostic Significance of Serum Magnesium in Acute Intracerebral Hemorrhage Patients.
Curr Neurovasc Res
; 16(2): 123-128, 2019.
Artículo
en Inglés
| MEDLINE | ID: mdl-30977445
7.
Performance evaluation of deep learning-based post-processing and diagnostic reporting system for coronary CT angiography: a clinical comparative study.
Chin Med J (Engl)
; 135(19): 2366-2368, 2022 10 05.
Artículo
en Inglés
| MEDLINE | ID: mdl-35120360
8.
Relationship between deep medullary veins in susceptibility-weighted imaging and ipsilateral cerebrovascular reactivity of middle cerebral artery in patients with ischemic stroke.
Exp Ther Med
; 11(6): 2217-2220, 2016 Jun.
Artículo
en Inglés
| MEDLINE | ID: mdl-27284303
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