Literature DB >> 32318845

AI for reading screening mammograms: the need for circumspection.

Philippe Autier1, Jean-Benoît Burrion2, André-Robert Grivegnée3.   

Abstract

KEY POINTS: • The studies on AI reading of screening mammograms have methodological limitations that undermine the conclusion that AI could do better than radiologists. • These studies do not informon numbers of extra breast cancers found by AI that could represent overdiagnosis. • The ability of AI to detect breast cancers is overestimated because there are no result on biopsy procedures that should be performed when mammograms are positive at AI reading but not at radiology reading.

Entities:  

Year:  2020        PMID: 32318845     DOI: 10.1007/s00330-020-06833-6

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  1 in total

1.  AI-aided detection of malignant lesions in mammography screening - evaluation of a program in clinical practice.

Authors:  Greta Johansson; Caroline Olsson; Frida Smith; Maria Edegran; Thomas Björk-Eriksson
Journal:  BJR Open       Date:  2021-02-03
  1 in total

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