Real-Time Artificial Intelligence–Based Guidance of Echocardiographic Imaging by Novices: Image Quality and Suitability for Diagnostic Interpretation and Quantitative Analysis

BACKGROUND: We aimed to assess in a prospective multicenter study the quality of echocardiographic exams performed by inexperienced users guided by a new artificial intelligence software and evaluate their suitability for diagnostic interpretation of basic cardiac pathology and quantitative analysis...

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Detalles Bibliográficos
Autores principales: Mor-Avi, Victor, Khandheria, Bijoy, Klempfner, Robert, Cotella, Juan I., Moreno, Merav, Ignatowski, Denise, Guile, Brittney, Hayes, Hailee J., Hipke, Kyle, Kaminski, Abigail, Spiegelstein, Dan, Avisar, Noa, Kezurer, Itay, Mazursky, Asaf, Handel, Ran, Peleg, Yotam, Avraham, Shir, Ludomirsky, Achiau, Lang, Roberto M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10659245/
https://www.ncbi.nlm.nih.gov/pubmed/37955139
http://dx.doi.org/10.1161/CIRCIMAGING.123.015569

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10659245/
https://www.ncbi.nlm.nih.gov/pubmed/37955139
http://dx.doi.org/10.1161/CIRCIMAGING.123.015569

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