Artificial Intelligence in Echocardiography for Anesthesiologists

Chen, Xia; Owen, Cindy A.; Huang, Emma C.; Maggard, Brittany; Latif, Rana K.; Clifford, Sean P.; Li, Jinbao; Huang, Jiapeng

doi:10.1053/j.jvca.2020.08.048

Cited by 21 publications

(18 citation statements)

References 34 publications

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“…This can lead to more widespread adoption of TEE as a preprocedural aortic annular measuring technique for TAVI. The application of machine learning, a subfield of artificial intelligence that uses complex computational algorithms, in novel measurement analysis software can be especially useful in echocardiography as it would allow the fast analysis of large amounts of data and prediction of outcomes with high accuracy, while the software would be able to constantly improve the quality of its predictions with each new set of acquired data [33]. Therefore, artificial intelligence holds much promise for clinical practice and has already been demonstrated to be increasingly useful to the medical field, having the potential to improve the accuracy and considerably reduce the duration of the echocardiographic analysis.…”

Section: Discussionmentioning

confidence: 99%

Three-Dimensional Transesophageal Echocardiography as an Alternative to Multidetector Computed Tomography in Aortic Annular Diameter Measurements for Transcatheter Aortic Valve Implantation

Dima

Gaşpar

Mornos

et al. 2021

Biology

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Background and objectives: Transcatheter aortic valve implantation (TAVI) is a therapeutic choice for high surgical risk patients, serving as an alternative to open-heart surgery. Correct measurement of the aortic annulus, which leads to the selection of a suitable prosthesis and accurate outcome prediction, is essential for the success of TAVI. The objective of this study is to evaluate the accuracy of novel imaging te chniques in measuring the aortic annulus by comparing multi-detector computer tomography (MDCT) and three-dimensional transesophageal echocardiography (3D TEE) for the selection of the optimal prosthesis. Materials and Methods: Measurements of the aortic annulus have been performed on 25 patients using MDCT and TEE, and the correlation and agreement levels between the two measuring techniques were analyzed. MDCT measurements were used for the sizing of the prostheses. Results: MDCT and TEE measurements of aortic annular diameters were significantly correlated, with a mean difference of 0.001 cm. Conclusions: 3D TEE measurements have been in good agreement with MDCT and, therefore, 3D TEE can be used as an alternative in cases where MDCT is contraindicated or not available.

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Section: Discussionmentioning

confidence: 99%

Three-Dimensional Transesophageal Echocardiography as an Alternative to Multidetector Computed Tomography in Aortic Annular Diameter Measurements for Transcatheter Aortic Valve Implantation

Dima

Gaşpar

Mornos

et al. 2021

Biology

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“…1-6,11-14,28- the greater diagnostic accuracy may be. [1][2][3][4][5][6][11][12][13][14][28][29][30][31][32][33][34][35][36][37][38][39][40][41][42][43][44][45] Madani et al 28 employed DL for view classification of thousands of echocardiographic acquisitions that captured many real world clinical variations. Another successfully trained AI-assisted model for view interpretation and classification has been reported by Zhang et al 29 A recently published multicohort study has demonstrated good accuracy of DL model in interpreting and classifying both two-dimensional and Doppler echocardiographic acquisitions.…”

Section: Strengths and Potential Of Ai In Cardiovascular Imaging: The...mentioning

confidence: 99%

Artificial intelligence applied to cardiovascular imaging, a critical focus on echocardiography: The point‐of‐view from “the other side of the coin”

Dell'Angela

Nicolosi²

2022

J of Clinical Ultrasound

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Cardiovascular imaging has achieved a crucial role in the management of cardiovascular diseases. In this field, echocardiography advantages include wide availability, portability, and affordability, at a relatively low cost. However, echocardiographic assessment requires highly trained operators, and implies high observer variability, as compared with the other cardiac imaging modalities. Hence, artificial intelligence might be extremely helpful. From the point‐of‐view of the peripheral “Spoke” Hospital potential user (“the other side of the coin”), artificial intelligence development appears very slow in the clinical arena. Many limitations are still present, and require full involvement, cooperation, and coordination of professional operators into Hub‐and‐Spoke network.

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“…Chen et al has recently demonstrated the utility of integrating artificial intelligence (AI) into echocardiography; specifically, the use of machine learning to aid anesthesiologists while performing transesophageal echocardiography (TEE) [1]. In doing so, advanced algorithms are able to improve computation time and accuracy while providing a more standardized approach to assessing cardiac function.…”

Section: Dear Editormentioning

confidence: 99%

Artificial Intelligence Application on Point-of-Care Ultrasound

Wang

Uraco

Hughes

2021

Journal of Cardiothoracic and Vascular Anesthesia

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This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

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Artificial Intelligence in Echocardiography for Anesthesiologists

Cited by 21 publications

References 34 publications

Three-Dimensional Transesophageal Echocardiography as an Alternative to Multidetector Computed Tomography in Aortic Annular Diameter Measurements for Transcatheter Aortic Valve Implantation

Three-Dimensional Transesophageal Echocardiography as an Alternative to Multidetector Computed Tomography in Aortic Annular Diameter Measurements for Transcatheter Aortic Valve Implantation

Artificial intelligence applied to cardiovascular imaging, a critical focus on echocardiography: The point‐of‐view from “the other side of the coin”

Artificial Intelligence Application on Point-of-Care Ultrasound

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