Literature DB >> 27114480

Staff shortages are putting UK breast cancer screening "at risk," survey finds.

Anne Gulland1.   

Abstract

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Year:  2016        PMID: 27114480     DOI: 10.1136/bmj.i2350

Source DB:  PubMed          Journal:  BMJ        ISSN: 0959-8138


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  5 in total

Review 1.  Impalpable breast lesion localisation, a logistical challenge: results of the UK iBRA-NET national practice questionnaire.

Authors:  Santosh K Somasundaram; Shelley Potter; Suzanne Elgammal; Anthony J Maxwell; Amtul S Sami; Sue K Down; Rajiv V Dave; James Harvey
Journal:  Breast Cancer Res Treat       Date:  2020-09-10       Impact factor: 4.872

2.  Variations in breast cancer detection rates during mammogram-reading sessions: does experience have an impact?

Authors:  Abdulaziz S Alshabibi; Moayyad E Suleiman; Salman M Albeshan; Robert Heard; Patrick C Brennan
Journal:  Br J Radiol       Date:  2021-11-04       Impact factor: 3.039

3.  Mammography diagnosis of breast cancer screening through machine learning: a systematic review and meta-analysis.

Authors:  Junjie Liu; Jiangjie Lei; Yuhang Ou; Yilong Zhao; Xiaofeng Tuo; Baoming Zhang; Mingwang Shen
Journal:  Clin Exp Med       Date:  2022-10-15       Impact factor: 5.057

Review 4.  [Applications of Artificial Intelligence in Mammography from a Development and Validation Perspective].

Authors:  Ki Hwan Kim; Sang Hyup Lee
Journal:  Taehan Yongsang Uihakhoe Chi       Date:  2021-01-31

5.  Identifying normal mammograms in a large screening population using artificial intelligence.

Authors:  Kristina Lång; Magnus Dustler; Victor Dahlblom; Anna Åkesson; Ingvar Andersson; Sophia Zackrisson
Journal:  Eur Radiol       Date:  2020-09-02       Impact factor: 5.315

  5 in total

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