Home › Entities › academia › Bridging the experience gap in prostate multiparametric magnetic resonance imaging using artificial intelligence: A prospective multi-reader comparison study on inter-reader agreement in PI-RADS v2.1, image quality and reporting time between novice and expert readers

Bridging the experience gap in prostate multiparametric magnetic resonance imaging using artificial intelligence: A prospective multi-reader comparison study on inter-reader agreement in PI-RADS v2.1, image quality and reporting time between novice and expert readers

Research article (European Journal of Radiology, 2023) · cited 26× · AI/ML
academia openalex:W4321350099
Press Enter · cited answer in seconds

Bridging the experience gap in prostate multiparametric magnetic resonance imaging using artificial intelligence: A prospective multi-reader comparison study on inter-reader agreement in PI-RADS v2.1, image quality and reporting time between novice and expert readers

Summary

Bridging the experience gap in prostate multiparametric magnetic resonance imaging using artificial intelligence: A prospective multi-reader comparison study on inter-reader agreement in PI-RADS v2.1, image quality and reporting time between novice and expert readers is a scholarly article[1].

Key Facts

  • Bridging the experience gap in prostate multiparametric magnetic resonance imaging using artificial intelligence: A prospective multi-reader comparison study on inter-reader agreement in PI-RADS v2.1, image quality and reporting time between novice and expert readers's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

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.

APA 4ort.xyz Knowledge Graph. (2026). Bridging the experience gap in prostate multiparametric magnetic resonance imaging using artificial intelligence: A prospective multi-reader comparison study on inter-reader agreement in PI-RADS v2.1, image quality and reporting time between novice and expert readers. Retrieved May 24, 2026, from https://4ort.xyz/entity/bridging-the-experience-gap-in-prostate-multiparametric-magnetic-resonance-imaging-using-artificial-intelligence-a-prosp
MLA “Bridging the experience gap in prostate multiparametric magnetic resonance imaging using artificial intelligence: A prospective multi-reader comparison study on inter-reader agreement in PI-RADS v2.1, image quality and reporting time between novice and expert readers.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/bridging-the-experience-gap-in-prostate-multiparametric-magnetic-resonance-imaging-using-artificial-intelligence-a-prosp.
BibTeX @misc{4ortxyz_bridging-the-experience-gap-in-prostate-multiparametric-magnetic-resonance-imaging-using-artificial-intelligence-a-prosp_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Bridging the experience gap in prostate multiparametric magnetic resonance imaging using artificial intelligence: A prospective multi-reader comparison study on inter-reader agreement in PI-RADS v2.1, image quality and reporting time between novice and expert readers}}, year = {2026}, url = {https://4ort.xyz/entity/bridging-the-experience-gap-in-prostate-multiparametric-magnetic-resonance-imaging-using-artificial-intelligence-a-prosp}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Bridging the experience gap in prostate multiparametric magnetic resonance imaging using artificial intelligence: A prospective multi-reader comparison study on inter-reader agreement in PI-RADS v2.1, image quality and reporting time between novice and expert readers — https://4ort.xyz/entity/bridging-the-experience-gap-in-prostate-multiparametric-magnetic-resonance-imaging-using-artificial-intelligence-a-prosp (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/bridging-the-experience-gap-in-prostate-multiparametric-magnetic-resonance-imaging-using-artificial-intelligence-a-prosp · Last refreshed: