Reader bias in breast cancer screening related to cancer prevalence and artificial intelligence decision support-a reader study.

Journal: European radiology

Published Date: Jan 2, 2024

Abstract

OBJECTIVES: The aim of our study was to examine how breast radiologists would be affected by high cancer prevalence and the use of artificial intelligence (AI) for decision support.

Authors

Hanen Al-Bazzaz

Mälarsjukhuset Eskilstuna, Kungsvägen 42, 633 49, Eskilstuna, Sweden.
Marina Janicijevic

Mälarsjukhuset Eskilstuna, Kungsvägen 42, 633 49, Eskilstuna, Sweden.
Fredrik Strand

Department of Oncology and Pathology, Karolinska Institute, Stockholm, Sweden.

Keywords

Adult Aged Artificial Intelligence Breast Neoplasms Decision Support Systems, Clinical Early Detection of Cancer Female Humans Mammography Middle Aged Observer Variation Prevalence Sensitivity and Specificity

External Resources

View on PubMed Access via DOI PubMed (38165430)

Reader bias in breast cancer screening related to cancer prevalence and artificial intelligence decision support-a reader study.

Abstract

Authors

Keywords

External Resources

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