Zobrazeno 1 - 10
of 98
pro vyhledávání: '"F, Sendra Portero"'
Autor:
P. Aguado-Linares, F. Sendra-Portero
Publikováno v:
Radiología (English Edition). 65:122-132
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2aee452f6cfd7ea74918c92f75e32cb5
https://doi.org/10.1016/j.rxeng.2022.10.014
https://doi.org/10.1016/j.rxeng.2022.10.014
Autor:
P. Aguado-Linares, F. Sendra-Portero
Publikováno v:
Radiología. 65:122-132
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0fdf91a52ea6d8eb1b8866065ca5d8a3
https://doi.org/10.1016/j.rx.2022.10.002
https://doi.org/10.1016/j.rx.2022.10.002
Autor:
A.V. Pérez Baena, F. Sendra Portero
Publikováno v:
Radiología (English Edition). 65:55-65
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::317a31bdddca33d003e99a531cac4d02
https://doi.org/10.1016/j.rxeng.2022.09.006
https://doi.org/10.1016/j.rxeng.2022.09.006
Autor:
A.V. Pérez Baena, F. Sendra Portero
Publikováno v:
Radiología. 65:55-65
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6b96fd3b87de377d0954dfac11acd27
https://doi.org/10.1016/j.rx.2022.09.010
https://doi.org/10.1016/j.rx.2022.09.010
Percepciones de estudiantes de Medicina sobre el impacto de la inteligencia artificial en radiología
Autor:
G. Caparrós Galán, F. Sendra Portero
Publikováno v:
Radiología. 64:516-524
Resumen Objetivos Analizar la percepcion de alumnos de Medicina sobre el impacto de la inteligencia artificial (IA) en radiologia. Material y Metodos Se distribuyo una encuesta estructurada en 28 items, organizados en seis secciones, entre estudiante
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bdc7684b5e4a85bcc4e0b6260e5b68a0
https://doi.org/10.1016/j.rx.2021.03.006
https://doi.org/10.1016/j.rx.2021.03.006
Autor:
G, Caparrós Galán, F, Sendra Portero
Publikováno v:
Radiología (English Edition). 64:516-524
To analyze medical students' perceptions of the impact of artificial intelligence in radiology.A structured questionnaire comprising 28 items organized into six sections was distributed to students of medicine in Spain in December 2019.A total of 341
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c05e6a0d79fd97e16e9579ae839f5bcc
https://doi.org/10.1016/j.rxeng.2021.03.008
https://doi.org/10.1016/j.rxeng.2021.03.008
Publikováno v:
Radiología.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::244cca7064903dc5fd3828961aa2da7b
https://doi.org/10.1016/j.rx.2023.04.004
https://doi.org/10.1016/j.rx.2023.04.004
Publikováno v:
Radiología. 64:169-178
Resumen Monico Sanchez Moreno (1880-1961) fue un personaje destacado en los primeros anos de la electromedicina, llegando a codearse con figuras encumbradas de la fisica mundial como Nikola Tesla. Su principal aportacion fue la invencion y comerciali
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ed8f1db712b270135861969306bc823
https://doi.org/10.1016/j.rx.2021.06.004
https://doi.org/10.1016/j.rx.2021.06.004
Publikováno v:
Radiología. 64:54-59
Artificial intelligence is a branch of computer science that is generating great expectations in medicine and particularly in radiology. Artificial intelligence will change not only the way we practice our profession, but also the way we teach it and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::993b4d74de289112ed98d0957c660d0f
https://doi.org/10.1016/j.rx.2020.10.003
https://doi.org/10.1016/j.rx.2020.10.003
Publikováno v:
Radiología (English Edition). 64:54-59
Artificial intelligence is a branch of computer science that is generating great expectations in medicine and particularly in radiology. Artificial intelligence will change not only the way we practice our profession, but also the way we teach it and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8ba697cb98b65a3c3d7f519d77a32403
https://doi.org/10.1016/j.rxeng.2020.10.012
https://doi.org/10.1016/j.rxeng.2020.10.012