QR-Code

Enhancing Radiologist Efficiency with AI: A Multi-Reader Multi-Case Study on Aortic Dissection Detection and Prioritization

Background and Objectives: Acute aortic dissection (AD) is a life-threatening condition in which early detection can significantly improve patient outcomes and survival. This study evaluates the clinical benefits of integrating a deep learning (DL)-based application for the automated detection and p...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Martina Cotena, Angela Ayobi, Colin Zuchowski, Jacqueline C. Junn, Brent D. Weinberg, Peter D. Chang, Daniel S. Chow, Jennifer E. Soun, Mar Roca-Sogorb, Yasmina Chaibi, Sarah Quenet
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2024-11-01
Schriftenreihe:Diagnostics
Schlagworte:
aortic dissection
automated detection
deep learning
prioritized worklist
emergency radiology
multi-reader multi-case study
Online-Zugang:https://www.mdpi.com/2075-4418/14/23/2689
Tags: Tag hinzufügen
Keine Tags, Fügen Sie das erste Tag hinzu!

Ähnliche Einträge