Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Artificial Intelligence Analysis of Chest Radiographs for Predicting Major Adverse Events in Patients Visiting the Emergency Department With Acute Cardiopulmonary Symptoms
3
Zitationen
5
Autoren
2025
Jahr
Abstract
AI analysis of CXRs showed greater accuracy than the KTAS did in predicting major adverse cardiopulmonary events in patients visiting the ED with acute cardiopulmonary symptoms. AI analysis may enhance the efficacy of patient triage in the ED.
Ähnliche Arbeiten
Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study
2020 · 22.618 Zit.
La certeza de lo impredecible: Cultura Educación y Sociedad en tiempos de COVID19
2020 · 19.271 Zit.
A Multi-Modal Distributed Real-Time IoT System for Urban Traffic Control (Invited Paper)
2024 · 14.265 Zit.
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
2018 · 8.571 Zit.
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
2021 · 7.187 Zit.