Výsledky vyhledávání - "Paula, Sobotta"

Akademický článek

Study protocol for a prospective, double-blinded, observational study investigating the diagnostic accuracy of an app-based diagnostic health care application in an emergency room setting: the eRadaR trial

Autor: Ursula Marschall, S Fatima Faqar-Uz-Zaman, Natalie Filmann, Dora Mahkovic, Michael von Wagner, Charlotte Detemble, Ulf Kippke, Luxia Anantharajah, Philipp Baumartz, Paula Sobotta, Wolf O Bechstein, Andreas A Schnitzbauer

Publikováno v: BMJ Open, Vol 11, Iss 1 (2021)

Introduction Occurrence of inaccurate or delayed diagnoses is a significant concern in patient care, particularly in emergency medicine, where decision making is often constrained by high throughput and inaccurate admission diagnoses. Artificial inte

Externí odkaz: https://doaj.org/article/76b6636926744dd2997e23e11a4a1230

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The Diagnostic Efficacy of an App-based Diagnostic Health Care Application in the Emergency Room: eRadaR-Trial. A prospective, Double-blinded, Observational Study

Autor: Sara F, Faqar-Uz-Zaman, Luxia, Anantharajah, Philipp, Baumartz, Paula, Sobotta, Natalie, Filmann, Dora, Zmuc, Michael, von Wagner, Charlotte, Detemble, Svenja, Sliwinski, Ursula, Marschall, Wolf O, Bechstein, Andreas A, Schnitzbauer

Publikováno v: Annals of Surgery. 276:935-942

To evaluate the diagnostic accuracy of the app-based diagnostic tool Ada and the impact on patient outcome in the emergency room (ER).Artificial intelligence-based diagnostic tools can improve targeted processes in health care delivery by integrating

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2470a948877e99b9febbd1534d1ff359
https://doi.org/10.1097/sla.0000000000005614

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Autor: Ulf Kippke, Dora Mahkovic, Charlotte Detemble, Natalie Filmann, Luxia Anantharajah, Philipp Baumartz, Michael von Wagner, Wolf O. Bechstein, Ursula Marschall, Paula Sobotta, S Fatima Faqar-Uz-Zaman, Andreas A. Schnitzbauer

Publikováno v: BMJ Open, Vol 11, Iss 1 (2021)
BMJ Open

IntroductionOccurrence of inaccurate or delayed diagnoses is a significant concern in patient care, particularly in emergency medicine, where decision making is often constrained by high throughput and inaccurate admission diagnoses. Artificial intel

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::14ae7090ded47f3088ab16056ee86c42
https://doi.org/10.1136/bmjopen-2020-041396

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