Assessing Radiology Research on Artificial Intelligence: A Brief Guide for Authors, Reviewers, and Readers-From the Radiology Editorial Board
- 29 February 2020
- journal article
- editorial
- Published by Radiological Society of North America (RSNA) in Radiology
- Vol. 294 (3), 487-489
- https://doi.org/10.1148/radiol.2019192515
Abstract
No abstract availableThis publication has 6 references indexed in Scilit:
- Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety StatementRadiology, 2019
- Convolutional Neural Networks for Radiologic Images: A Radiologist’s GuideRadiology, 2019
- Assessment of Convolutional Neural Networks for Automated Classification of Chest RadiographsRadiology, 2019
- Editor’s Note: Publication of AI Research in RadiologyRadiology, 2018
- Methodologic Guide for Evaluating Clinical Performance and Effect of Artificial Intelligence Technology for Medical Diagnosis and PredictionRadiology, 2018
- Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): Explanation and ElaborationAnnals of Internal Medicine, 2015