Are better AI algorithms for breast cancer detection also better at predicting risk? A paired case-control study.

Journal Information

Full Title: Breast Cancer Res

Abbreviation: Breast Cancer Res

Country: Unknown

Publisher: Unknown

Language: N/A

Publication Details

Subject Category: Neoplasms

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

Transparency Score
3/6
50.0% Transparent
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Evidence found in paper:

"Declarations Ethics approval and consent to participateThe data used in this manuscript were fully anonymized and made available for research following ethical approval from the NHS Health Research Agency (REC reference: 19/SC/0284, IRAS reference: 265403). Competing interestsAB declares income from Cancer Research UK arising from commercial use of the Tyrer-Cuzick (IBIS) breast cancer risk evaluator. Competing interests AB declares income from Cancer Research UK arising from commercial use of the Tyrer-Cuzick (IBIS) breast cancer risk evaluator."

Evidence found in paper:

"Funding The work of RS, JW and CD was supported by Cancer Research UK (Grant reference: C49757/A28689, awarded to GM and ARB)."

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Open Access
Paper is freely available to read
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Assessment Info

Tool: rtransparent

OST Version: N/A

Last Updated: Aug 05, 2025