Prostate-MRI reporting should be done with the aid of AI systems: Cons-Reference-Cited by-同舟云学术

Prostate-MRI reporting should be done with the aid of AI systems: Cons

Published:2024-07-09 Issue: Volume: Page:
ISSN:1432-1084
Container-title:European Radiology
language:en
Short-container-title:Eur Radiol

Author:

de Rooij Maarten^ORCID

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00330-024-10898-y.pdf

Reference10 articles.

1. Drost FH, Osses DF, Nieboer D et al (2019) Prostate MRI, with or without MRI-targeted biopsy, and systematic biopsy for detecting prostate cancer. Cochrane Database Syst Rev 4:Cd012663

2. Sathianathen NJ, Omer A, Harriss E et al (2020) Negative predictive value of multiparametric magnetic resonance imaging in the detection of clinically significant prostate cancer in the prostate imaging reporting and data system era: a systematic review and meta-analysis. Eur Urol 78:402–414

3. Westphalen AC, McCulloch CE, Anaokar JM et al (2020) Variability of the positive predictive value of PI-RADS for prostate MRI across 26 centers: experience of the society of abdominal radiology prostate cancer disease-focused panel. Radiology 296:76–84

4. Parikh JR, Van Moore A, Mead L, Bassett R, Rubin E (2022) Prevalence of burnout in private practice radiology leaders. Clin Imaging 92:1–6

5. Rouviere O, Jaouen T, Baseilhac P et al (2023) Artificial intelligence algorithms aimed at characterizing or detecting prostate cancer on MRI: How accurate are they when tested on independent cohorts?—a systematic review. Diagn Interv Imaging 104:221–234

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1. Prostate-MRI reporting should be done with the aid of AI systems: Pros;European Radiology;2024-07-09