Literature DB >> 31891322

Assessing Radiology Research on Artificial Intelligence: A Brief Guide for Authors, Reviewers, and Readers-From the Radiology Editorial Board.

David A Bluemke1, Linda Moy1, Miriam A Bredella1, Birgit B Ertl-Wagner1, Kathryn J Fowler1, Vicky J Goh1, Elkan F Halpern1, Christopher P Hess1, Mark L Schiebler1, Clifford R Weiss1.   

Abstract

Mesh：

Year:  2019        PMID： 31891322     DOI： 10.1148/radiol.2019192515

Source DB:  PubMed          Journal:  Radiology        ISSN： 0033-8419            Impact factor:   11.105


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  67 in total

Review 1.  Deep learning in breast radiology: current progress and future directions.

Authors:  William C Ou; Dogan Polat; Basak E Dogan
Journal:  Eur Radiol       Date:  2021-01-15       Impact factor: 5.315

2.  Checklist for Artificial Intelligence in Medical Imaging (CLAIM): A Guide for Authors and Reviewers.

Authors:  John Mongan; Linda Moy; Charles E Kahn
Journal:  Radiol Artif Intell       Date:  2020-03-25

3.  Deep learning based detection of intracranial aneurysms on digital subtraction angiography: A feasibility study.

Authors:  Nicolin Hainc; Manoj Mannil; Vaia Anagnostakou; Hatem Alkadhi; Christian Blüthgen; Lorenz Wacht; Andrea Bink; Shakir Husain; Zsolt Kulcsár; Sebastian Winklhofer
Journal:  Neuroradiol J       Date:  2020-07-07

4.  Use of biplane quantitative angiographic imaging with ensemble neural networks to assess reperfusion status during mechanical thrombectomy.

Authors:  Mohammad Mahdi Shiraz Bhurwani; Kenneth V Snyder; Muhammad Waqas; Maxim Mokin; Ryan A Rava; Alexander R Podgorsak; Kelsey N Sommer; Jason M Davies; Elad I Levy; Adnan H Siddiqui; Ciprian N Ionita
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2021-02-15

Review 5.  Artificial Intelligence: A Primer for Breast Imaging Radiologists.

Authors:  Manisha Bahl
Journal:  J Breast Imaging       Date:  2020-06-19

6.  Current applications and development of artificial intelligence for digital dental radiography.

Authors:  Ramadhan Hardani Putra; Chiaki Doi; Nobuhiro Yoda; Eha Renwi Astuti; Keiichi Sasaki
Journal:  Dentomaxillofac Radiol       Date:  2021-07-08       Impact factor: 2.419

7.  MRI Manufacturer Shift and Adaptation: Increasing the Generalizability of Deep Learning Segmentation for MR Images Acquired with Different Scanners.

Authors:  Wenjun Yan; Lu Huang; Liming Xia; Shengjia Gu; Fuhua Yan; Yuanyuan Wang; Qian Tao
Journal:  Radiol Artif Intell       Date:  2020-07-01

8.  Developing specific reporting guidelines for diagnostic accuracy studies assessing AI interventions: The STARD-AI Steering Group.

Authors:  Viknesh Sounderajah; Hutan Ashrafian; Ravi Aggarwal; Jeffrey De Fauw; Alastair K Denniston; Felix Greaves; Alan Karthikesalingam; Dominic King; Xiaoxuan Liu; Sheraz R Markar; Matthew D F McInnes; Trishan Panch; Jonathan Pearson-Stuttard; Daniel S W Ting; Robert M Golub; David Moher; Patrick M Bossuyt; Ara Darzi
Journal:  Nat Med       Date:  2020-06       Impact factor: 53.440

9.  Diagnostic performance of perilesional radiomics analysis of contrast-enhanced mammography for the differentiation of benign and malignant breast lesions.

Authors:  Simin Wang; Yuqi Sun; Ruimin Li; Ning Mao; Qin Li; Tingting Jiang; Qianqian Chen; Shaofeng Duan; Haizhu Xie; Yajia Gu
Journal:  Eur Radiol       Date:  2021-06-29       Impact factor: 5.315

10.  Deep Learning-based Automated Segmentation of Left Ventricular Trabeculations and Myocardium on Cardiac MR Images: A Feasibility Study.

Authors:  Axel Bartoli; Joris Fournel; Zakarya Bentatou; Gilbert Habib; Alain Lalande; Monique Bernard; Loïc Boussel; François Pontana; Jean-Nicolas Dacher; Badih Ghattas; Alexis Jacquier
Journal:  Radiol Artif Intell       Date:  2020-11-25
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