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How is Bias Learned in Medical Image Analysis Models? An Exploration of the Encoding of Demographic Information in Deep Learning Models Trained to Detect Abnormalities on Chest X-Rays.

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Bibliographic Details
Title: How is Bias Learned in Medical Image Analysis Models? An Exploration of the Encoding of Demographic Information in Deep Learning Models Trained to Detect Abnormalities on Chest X-Rays.
Authors: Kurian NC; Australian Institute for Machine Learning, Adelaide University, 384-392 North Terrace, Adelaide, South Australia, 5000, Australia. nikhil.kurian@adelaide.edu.au.; School of Public Health, Adelaide University, Adelaide, South Australia, 5005, Australia. nikhil.kurian@adelaide.edu.au., Williams P; Artificial Intelligence and Machine Learning, GSK, King's Cross, London, UK., Abdulrahman S; Artificial Intelligence and Machine Learning, GSK, King's Cross, London, UK., Schrouff J; Artificial Intelligence and Machine Learning, GSK, King's Cross, London, UK., Vandersluis R; Artificial Intelligence and Machine Learning, GSK, King's Cross, London, UK., Palmer LJ; Australian Institute for Machine Learning, Adelaide University, 384-392 North Terrace, Adelaide, South Australia, 5000, Australia.; School of Public Health, Adelaide University, Adelaide, South Australia, 5005, Australia., Oakden-Rayner L; Australian Institute for Machine Learning, Adelaide University, 384-392 North Terrace, Adelaide, South Australia, 5000, Australia.
Source: Journal of imaging informatics in medicine [J Imaging Inform Med] 2026 Jun 24. Date of Electronic Publication: 2026 Jun 24.
Publication Type: Journal Article
Journal Info: Publisher: Springer Nature Country of Publication: Switzerland NLM ID: 9918663679206676 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2948-2933 (Electronic) Linking ISSN: 29482925 NLM ISO Abbreviation: J Imaging Inform Med Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2948-2933
DOI:10.1007/s10278-026-02073-0