Cargando…
Atri-U: assisted image analysis in routine cardiovascular magnetic resonance volumetry of the left atrium
BACKGROUND: Artificial intelligence can assist in cardiac image interpretation. Here, we achieved a substantial reduction in time required to read a cardiovascular magnetic resonance (CMR) study to estimate left atrial volume without compromising accuracy or reliability. Rather than deploying a full...
Autores principales: | Anastasopoulos, Constantin, Yang, Shan, Pradella, Maurice, Akinci D’Antonoli, Tugba, Knecht, Sven, Cyriac, Joshy, Reisert, Marco, Kellner, Elias, Achermann, Rita, Haaf, Philip, Stieltjes, Bram, Sauter, Alexander W., Bremerich, Jens, Sommer, Gregor, Abdulkadir, Ahmed |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8582149/ https://www.ncbi.nlm.nih.gov/pubmed/34758821 http://dx.doi.org/10.1186/s12968-021-00791-8 |
Ejemplares similares
-
Evaluation of an AI-Powered Lung Nodule Algorithm for Detection and 3D Segmentation of Primary Lung Tumors
por: Weikert, Thomas, et al.
Publicado: (2019) -
Considerations on Baseline Generation for Imaging AI Studies Illustrated on the CT-Based Prediction of Empyema and Outcome Assessment
por: Sexauer, Raphael, et al.
Publicado: (2022) -
Associations between fully-automated, 3D-based functional analysis of the left atrium and classification schemes in atrial fibrillation
por: Pradella, Maurice, et al.
Publicado: (2022) -
Performance of a deep learning tool to detect missed aortic dilatation in a large chest CT cohort
por: Pradella, Maurice, et al.
Publicado: (2022) -
Diagnostic Accuracy of Imaging Findings in Pleural Empyema: Systematic Review and Meta-Analysis
por: Zettinig, Desiree, et al.
Publicado: (2021)