Home ›
Entities
› academia
› The Adoption of Radiomics and machine learning improves the diagnostic processes of women with Ovarian MAsses (the AROMA pilot study)
The Adoption of Radiomics and machine learning improves the diagnostic processes of women with Ovarian MAsses (the AROMA pilot study)
Research article (Journal of Ultrasound, 2020) · cited 58× · AI/ML
The Adoption of Radiomics and machine learning improves the diagnostic processes of women with Ovarian MAsses (the AROMA pilot study)
Summary
The Adoption of Radiomics and machine learning improves the diagnostic processes of women with Ovarian MAsses (the AROMA pilot study) is a scholarly article[1].
Key Facts
The Adoption of Radiomics and machine learning improves the diagnostic processes of women with Ovarian MAsses (the AROMA pilot study)'s instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). The Adoption of Radiomics and machine learning improves the diagnostic processes of women with Ovarian MAsses (the AROMA pilot study). Retrieved May 24, 2026, from https://4ort.xyz/entity/the-adoption-of-radiomics-and-machine-learning-improves-the-diagnostic-processes-of-women-with-ovarian-masses-the-aroma-
MLA“The Adoption of Radiomics and machine learning improves the diagnostic processes of women with Ovarian MAsses (the AROMA pilot study).” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/the-adoption-of-radiomics-and-machine-learning-improves-the-diagnostic-processes-of-women-with-ovarian-masses-the-aroma-.
BibTeX@misc{4ortxyz_the-adoption-of-radiomics-and-machine-learning-improves-the-diagnostic-processes-of-women-with-ovarian-masses-the-aroma-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{The Adoption of Radiomics and machine learning improves the diagnostic processes of women with Ovarian MAsses (the AROMA pilot study)}}, year = {2026}, url = {https://4ort.xyz/entity/the-adoption-of-radiomics-and-machine-learning-improves-the-diagnostic-processes-of-women-with-ovarian-masses-the-aroma-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): The Adoption of Radiomics and machine learning improves the diagnostic processes of women with Ovarian MAsses (the AROMA pilot study) — https://4ort.xyz/entity/the-adoption-of-radiomics-and-machine-learning-improves-the-diagnostic-processes-of-women-with-ovarian-masses-the-aroma- (retrieved 2026-05-24)