What Does DALL-E 2 Know About Radiology?

Adams, Lisa C; Busch, Felix; Truhn, Daniel; Makowski, Marcus R; Aerts, Hugo J W L; Bressem, Keno K

Adams, Lisa C; Busch, Felix; Truhn, Daniel; Makowski, Marcus R; Aerts, Hugo J W L; Bressem, Keno K.

Afiliación

Adams LC; Department of Radiology, Charité Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany.
Busch F; Department of Radiology, Stanford University, Stanford, CA, United States.
Truhn D; Department of Radiology, Charité Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany.
Makowski MR; Department of Diagnostic and Interventional Radiology, University Hospital Aachen, Aachen, Germany.
Aerts HJWL; Department of Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany.
Bressem KK; Artificial Intelligence in Medicine Program (AIM), Mass General Brigham, Harvard Medical School, Boston, MA, United States.

J Med Internet Res ; 25: e43110, 2023 03 16.

Article en En | MEDLINE | ID: mdl-36927634

Asunto(s)

Inteligencia Artificial; Radiología; Humanos; Tomografía Computarizada por Rayos X/métodos; Imagen por Resonancia Magnética/métodos; Ultrasonografía

Palabras clave

DALL-E; artificial intelligence; creating images from text; diagnostic imaging; generative model; image creation; image generation; machine learning; medical imaging; radiology; text-to-image; transformer language model; x-ray

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Radiología / Inteligencia Artificial Tipo de estudio: Diagnostic_studies Límite: Humans Idioma: En Revista: J Med Internet Res Asunto de la revista: INFORMATICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: Alemania

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