ChatGPT Helped Me Write This Talk Title, but Can It Read an Echocardiogram?

Arnaout, Rima

Arnaout, Rima.

Afiliação

Arnaout R; Department of Medicine, Department of Radiology, and Department of Pediatrics, Bakar Computational Health Sciences Institute, UCSF UC Berkeley Joint Program in Computational Precision Health, University of California, San Francisco, San Francisco, California. Electronic address: rima.arnaout@ucsf.edu.

J Am Soc Echocardiogr ; 36(10): 1021-1026, 2023 10.

Article em En | MEDLINE | ID: mdl-37499771

ABSTRACT

ABSTRACT

While multidisciplinary collaboration in echocardiography is not new, machine learning has the potential to further improve it. In this transcript of the ASE 2023 Annual Feigenbaum lecture, advancements in foundation models are discussed, including their advantages, current disadvantages, and future potential for echocardiography.

Assuntos

Ecocardiografia; Aprendizado de Máquina; Humanos

Palavras-chave

Artificial intelligence; Echocardiography; Feigenbaum lecture; Foundation models; Machine learning

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Ecocardiografia / Aprendizado de Máquina Limite: Humans Idioma: En Revista: J Am Soc Echocardiogr Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2023 Tipo de documento: Article

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