Vision‐Language Models for Automated Chest X‐ray Interpretation: Leveraging ViT and GPT‐2
ABSTRACT Radiology plays a pivotal role in modern medicine due to its non‐invasive diagnostic capabilities. However, the manual generation of unstructured medical reports is time‐consuming and prone to errors. It creates a significant bottleneck in clinical workflows. Despite advancements in AI‐gene...
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| Autores principales: | , , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Wiley
2025-06-01
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| Colección: | Engineering Reports |
| Materias: | |
| Acceso en línea: | https://doi.org/10.1002/eng2.70220 |
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