Literature DB >> 33937798

Using Time as a Measure of Impact for AI Systems: Implications in Breast Screening.

William Hsu1, Anne C Hoyt1.   

Abstract

Entities:  

Year:  2019        PMID： 33937798      PMCID： PMC8017416          DOI： 10.1148/ryai.2019190107

Source DB:  PubMed          Journal:  Radiol Artif Intell        ISSN： 2638-6100


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  8 in total

1.  Radiology's value chain.

Authors:  Dieter R Enzmann
Journal:  Radiology       Date:  2012-04       Impact factor: 11.105

2.  Shining Light Into the Black Box of Machine Learning.

Authors:  William Hsu; Joann G Elmore
Journal:  J Natl Cancer Inst       Date:  2019-09-01       Impact factor: 13.506

3.  Computer-aided detection (CAD) in mammography: does it help the junior or the senior radiologist?

Authors:  Corinne Balleyguier; Karen Kinkel; Jacques Fermanian; Sebastien Malan; Germaine Djen; Patrice Taourel; Olivier Helenon
Journal:  Eur J Radiol       Date:  2005-04       Impact factor: 3.528

4.  A Systematic Review of Fatigue in Radiology: Is It a Problem?

Authors:  Nadia Stec; Danielle Arje; Alan R Moody; Elizabeth A Krupinski; Pascal N Tyrrell
Journal:  AJR Am J Roentgenol       Date:  2018-02-15       Impact factor: 3.959

5.  A method of comparing the areas under receiver operating characteristic curves derived from the same cases.

Authors:  J A Hanley; B J McNeil
Journal:  Radiology       Date:  1983-09       Impact factor: 11.105

Review 6.  New Frontiers: An Update on Computer-Aided Diagnosis for Breast Imaging in the Age of Artificial Intelligence.

Authors:  Yiming Gao; Krzysztof J Geras; Alana A Lewin; Linda Moy
Journal:  AJR Am J Roentgenol       Date:  2019-02       Impact factor: 3.959

7.  Breast Cancer Screening Using Tomosynthesis or Mammography: A Meta-analysis of Cancer Detection and Recall.

Authors:  M Luke Marinovich; Kylie E Hunter; Petra Macaskill; Nehmat Houssami
Journal:  J Natl Cancer Inst       Date:  2018-09-01       Impact factor: 13.506

8.  Improving Accuracy and Efficiency with Concurrent Use of Artificial Intelligence for Digital Breast Tomosynthesis.

Authors:  Emily F Conant; Alicia Y Toledano; Senthil Periaswamy; Sergei V Fotin; Jonathan Go; Justin E Boatsman; Jeffrey W Hoffmeister
Journal:  Radiol Artif Intell       Date:  2019-07-31
  8 in total
  2 in total

Review 1.  Updates in Artificial Intelligence for Breast Imaging.

Authors:  Manisha Bahl
Journal:  Semin Roentgenol       Date:  2021-12-31       Impact factor: 0.709

2.  Artificial Intelligence for Breast Ultrasound: Will It Impact Radiologists' Accuracy?

Authors:  Manisha Bahl
Journal:  J Breast Imaging       Date:  2021-04-26
  2 in total

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