Diagnostic Accuracy of a Multi-Target Artificial Intelligence Service for the Simultaneous Assessment of 16 Pathological Features on Chest and Abdominal CT

<b>Background/Objectives</b>: Chest, abdominal, and pelvic computed tomography (CT) with intravenous contrast is widely used for tumor staging, treatment planning, and therapy monitoring. The integration of artificial intelligence (AI) services is expected to improve diagnostic accuracy across multi...

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Hlavní autoři:	Valentin A. Nechaev, Nataliya Y. Kashtanova, Evgenii V. Kopeykin, Umamat M. Magomedova, Maria S. Gribkova, Anton V. Hardin, Marina I. Sekacheva, Varvara D. Sanikovich, Valeria Y. Chernina, Victor A. Gombolevskiy
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2025-11-01
Edice:	Diagnostics
Témata:	artificial intelligence computer vision computed tomography chest abdomen
On-line přístup:	https://www.mdpi.com/2075-4418/15/21/2778
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