Prediction Variability to Identify Reduced AI Performance in Cancer Diagnosis at MRI and CT-Reference-Cited by-同舟云学术

Prediction Variability to Identify Reduced AI Performance in Cancer Diagnosis at MRI and CT

Published:2023-09-01 Issue:3 Volume:308 Page:
ISSN:0033-8419
Container-title:Radiology
language:en
Short-container-title:Radiology

Author:

Alves Natália¹^ORCID,Bosma Joeran S.¹^ORCID,Venkadesh Kiran V.¹^ORCID,Jacobs Colin¹^ORCID,Saghir Zaigham¹^ORCID,de Rooij Maarten¹^ORCID,Hermans John¹^ORCID,Huisman Henkjan¹^ORCID

Affiliation:

1. From the Department of Medical Imaging, Radboudumc, Route 767, Room 2.30, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, the Netherlands (N.A., J.S.B., K.V.V., C.J., M.d.R., J.H., H.H.); Department of Medicine, Section of Pulmonary Medicine, Herlev-Gentofte Hospital, Herlev, Denmark (Z.S.); and Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark (Z.S.).

Funder

Horizon 2020

Publisher

Radiological Society of North America (RSNA)

Subject

Radiology, Nuclear Medicine and imaging

Link

http://pubs.rsna.org/doi/pdf/10.1148/radiol.230275

Reference26 articles.

1. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries

2. Medical imaging and nuclear medicine: a Lancet Oncology Commission

3. Shortages of radiology and oncology staff putting cancer patients at risk, college warns