Accuracy of Foundation Artificial Intelligence Models for Hepatic Macrovesicular Steatosis Quantification in Frozen Sections.
Context.--Accurate intraoperative assessment of macrovesicular steatosis in donor liver biopsies is critical for transplant decisions but is often limited by interobserver variability and freezing artifacts that can obscure histologic details. Artificial intelligence (AI) offers a potential solution...
| Publicado en: | Archives of Pathology & Laboratory Medicine Vol. 150; no. 5; pp. 374 - 381 |
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| Autores principales: | , , , , , , , , , , , , , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
College of American Pathologists
May2026
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| Acceso en línea: | Ver este registro en EBSCOhost |