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A multicenter study to develop a non-invasive radiomic model to identify urinary infection stone in vivo using machine-learning
Research article (Kidney International, 2021) · cited 72× · AI/ML
A multicenter study to develop a non-invasive radiomic model to identify urinary infection stone in vivo using machine-learning
Summary
A multicenter study to develop a non-invasive radiomic model to identify urinary infection stone in vivo using machine-learning is a scholarly article[1].
Key Facts
A multicenter study to develop a non-invasive radiomic model to identify urinary infection stone in vivo using machine-learning's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). A multicenter study to develop a non-invasive radiomic model to identify urinary infection stone in vivo using machine-learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-multicenter-study-to-develop-a-non-invasive-radiomic-model-to-identify-urinary-infection-stone-in-vivo-using-machine-l
MLA“A multicenter study to develop a non-invasive radiomic model to identify urinary infection stone in vivo using machine-learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-multicenter-study-to-develop-a-non-invasive-radiomic-model-to-identify-urinary-infection-stone-in-vivo-using-machine-l.
BibTeX@misc{4ortxyz_a-multicenter-study-to-develop-a-non-invasive-radiomic-model-to-identify-urinary-infection-stone-in-vivo-using-machine-l_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A multicenter study to develop a non-invasive radiomic model to identify urinary infection stone in vivo using machine-learning}}, year = {2026}, url = {https://4ort.xyz/entity/a-multicenter-study-to-develop-a-non-invasive-radiomic-model-to-identify-urinary-infection-stone-in-vivo-using-machine-l}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A multicenter study to develop a non-invasive radiomic model to identify urinary infection stone in vivo using machine-learning — https://4ort.xyz/entity/a-multicenter-study-to-develop-a-non-invasive-radiomic-model-to-identify-urinary-infection-stone-in-vivo-using-machine-l (retrieved 2026-05-24)
