Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Limitations in Chest X-Ray Interpretation by Vision-Capable Large Language Models, Gemini 1.0, Gemini 1.5 Pro, GPT-4 Turbo, and GPT-4o
1
Zitationen
5
Autoren
2026
Jahr
Abstract
: Although LLMs were able to identify certain diagnoses and key imaging features, their limitations in detecting small lesions, recognizing laterality, reasoning through differential diagnoses, and using domain-specific expressions indicate that CXR interpretation without textual cues still requires further improvement.
Ähnliche Arbeiten
La certeza de lo impredecible: Cultura Educación y Sociedad en tiempos de COVID19
2020 · 19.284 Zit.
A Multi-Modal Distributed Real-Time IoT System for Urban Traffic Control (Invited Paper)
2024 · 14.297 Zit.
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
2018 · 8.776 Zit.
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
2021 · 7.391 Zit.
scikit-image: image processing in Python
2014 · 6.824 Zit.