AI-based BRAIx risk score for the intermediate-term prediction of breast cancer: a population cohort study.

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Title: AI-based BRAIx risk score for the intermediate-term prediction of breast cancer: a population cohort study.
Authors: Frazer HML; Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, VIC, Australia; St Vincent's BreastScreen, St Vincent's Hospital Melbourne, Melbourne, VIC, Australia; Department of Radiology, St Vincent's Hospital Melbourne, Melbourne, VIC, Australia; BreastScreen Victoria, Melbourne, VIC, Australia. Electronic address: helen.frazer@svha.org.au., Hopper JL; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia., Nguyen TL; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia., Elliott MS; Bioinformatics and Cellular Genomics Unit, St Vincent's Institute of Medical Research, Melbourne, VIC, Australia; Melbourne Integrative Genomics, School of Mathematics and Statistics and School of BioSciences, Faculty of Science, University of Melbourne, Melbourne, VIC, Australia., Kunicki KM; Bioinformatics and Cellular Genomics Unit, St Vincent's Institute of Medical Research, Melbourne, VIC, Australia., Al-Qershi O; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia., Schmidt DF; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia; Faculty of Information Technology, Monash University, Clayton, VIC, Australia., Makalic E; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia; Faculty of Information Technology, Monash University, Clayton, VIC, Australia., Li S; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia; Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK; Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia; Murdoch Children's Research Institute, Royal Children's Hospital, Parkville, VIC, Australia., Fox SK; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia., Dowty JG; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, VIC, Australia., Peña-Solorzano CA; Bioinformatics and Cellular Genomics Unit, St Vincent's Institute of Medical Research, Melbourne, VIC, Australia; Melbourne Integrative Genomics, School of Mathematics and Statistics and School of BioSciences, Faculty of Science, University of Melbourne, Melbourne, VIC, Australia., Kwok CF; Bioinformatics and Cellular Genomics Unit, St Vincent's Institute of Medical Research, Melbourne, VIC, Australia; Melbourne Integrative Genomics, School of Mathematics and Statistics and School of BioSciences, Faculty of Science, University of Melbourne, Melbourne, VIC, Australia., Chen Y; School of Computer Science, Australian Institute for Machine Learning, University of Adelaide, SA, Australia., Wang C; School of Computer Science, Australian Institute for Machine Learning, University of Adelaide, SA, Australia., Lippey J; Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, VIC, Australia; St Vincent's BreastScreen, St Vincent's Hospital Melbourne, Melbourne, VIC, Australia; BreastScreen Victoria, Melbourne, VIC, Australia; Department of Surgery, St Vincent's Hospital Melbourne, Melbourne, VIC, Australia., Brotchie P; Department of Radiology, St Vincent's Hospital Melbourne, Melbourne, VIC, Australia., Carneiro G; Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford, UK., Strand F; Breast Radiology Unit, Department of Imaging and Physiology, Karolinska University Hospital, Stockholm, Sweden; Breast Radiology Unit, Medical Diagnostics Karolinska, Karolinska University Hospital, Stockholm, Sweden., McCarthy DJ; Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, VIC, Australia; Bioinformatics and Cellular Genomics Unit, St Vincent's Institute of Medical Research, Melbourne, VIC, Australia; Melbourne Integrative Genomics, School of Mathematics and Statistics and School of BioSciences, Faculty of Science, University of Melbourne, Melbourne, VIC, Australia. Electronic address: dmccarthy@svi.edu.au.
Source: The Lancet. Digital health [Lancet Digit Health] 2026 Apr; Vol. 8 (4), pp. 100987. Date of Electronic Publication: 2026 Mar 03.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Ltd Country of Publication: England NLM ID: 101751302 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2589-7500 (Electronic) Linking ISSN: 25897500 NLM ISO Abbreviation: Lancet Digit Health Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2589-7500
DOI:10.1016/j.landig.2026.100987