?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=Exploring+Fairness+in+State-of-the-Art+Pulmonary+Nodule+Detection+Algorithms&rft.creator=McCabe%2C+J&rft.creator=Cheng%2C+D&rft.creator=Bhamani%2C+A&rft.creator=Mullin%2C+M&rft.creator=Patrick%2C+T&rft.creator=Nair%2C+A&rft.creator=Janes%2C+SM&rft.creator=Sudre%2C+CH&rft.creator=Jacob%2C+J&rft.description=Lung+cancer+is+the+leading+cause+of+cancer+mortality+worldwide.+Asymptomatic+in+its+early+stages%2C+it+is+disproportionately+detected+when+the+disease+is+advanced.+Resource+constraints+have+resulted+in+increasing+reliance+on+computer-aided+detection+(CADe)+systems+to+assist+with+scan+evaluation.+The+datasets+used+to+train+these+algorithms+are+often+unbalanced+in+their+representation+of+protected+groups+e.g.+sex+and+ethnicity.+This+project+investigates+whether+there+are+performance+disparities+in+detecting+clinically+relevant+nodules+across+under-represented+groups+in+selected%2C+state-of-the-art+nodule+detection+algorithms+trained+on+data+from+a+screening+program+in+the+UK.+Our+analysis+revealed+that+overall%2C+the+algorithms+demonstrate+equitable+performance+across+various+demographic+groups.+However%2C+their+performance+varies+strongly+across+nodule+characteristics+(size+and+type)+in+line+with+their+prevalence+in+the+training+set.+To+ensure+continued+equitable+performance%2C+algorithms+should+not+only+consider+demographic+but+also+nodule+attributes+representativeness+in+their+training.&rft.subject=Nodule+Detection+Algorithms%2C+Fairness+in+AI%2C+Lung+Cancer%0D%0AScreening&rft.publisher=Springer%2C+Cham&rft.contributor=Puyol-Ant%C3%B3n%2C+Esther&rft.contributor=Zamzmi%2C+Ghada&rft.contributor=Feragen%2C+Aasa&rft.contributor=King%2C+Andrew+P&rft.contributor=Cheplygina%2C+Veronika&rft.contributor=Ganz-Benjaminsen%2C+Melanie&rft.contributor=Ferrante%2C+Enzo&rft.contributor=Glocker%2C+Ben&rft.contributor=Petersen%2C+Eike&rft.contributor=Baxter%2C+John+SH&rft.contributor=Rekik%2C+Islem&rft.contributor=Eagleson%2C+Roy&rft.date=2024-10-13&rft.type=Proceedings+paper&rft.language=eng&rft.source=+++++In%3A+Puyol-Ant%C3%B3n%2C+Esther+and+Zamzmi%2C+Ghada+and+Feragen%2C+Aasa+and+King%2C+Andrew+P+and+Cheplygina%2C+Veronika+and+Ganz-Benjaminsen%2C+Melanie+and+Ferrante%2C+Enzo+and+Glocker%2C+Ben+and+Petersen%2C+Eike+and+Baxter%2C+John+SH+and+Rekik%2C+Islem+and+Eagleson%2C+Roy%2C+(eds.)+Ethics+and+Fairness+in+Medical+Imaging%3A+FAIMI+EPIMI+2024.++(pp.+pp.+78-87).++Springer%2C+Cham+(2024)+++++&rft.identifier=https%3A%2F%2Fdiscovery.ucl.ac.uk%2Fid%2Feprint%2F10200673%2F