Identifiers
Papers
Documents in the 44B Library with Cancer Council NSW on the authorship, newest first.
2025-05-30 · 5 authors here
How should artificial intelligence be used in breast screening? Women’s reasoning about workflow options
2025-05-10 · 7 authors here
Preferences for the Use of Artificial Intelligence for Breast Cancer Screening in Australia: A Discrete Choice Experiment
2025-04-22 · 7 authors here
Implementing artificial intelligence in breast cancer screening: Women’s preferences
2025-02-03 · 2 authors here
AI for mammography: making double screen-reading history
2025-01-21 · 10 authors here
Are AI chatbots concordant with evidence-based cancer screening recommendations?
2024-10-18 · 56 authors here
Federated deep learning enables cancer subtyping by proteomics
2024-10-03 · 5 authors here
Optimizing mammography interpretation education: leveraging deep learning for cohort-specific error detection to enhance radiologist training
2024-08-11 · 4 authors here
Simulated arbitration of discordance between radiologists and artificial intelligence interpretation of breast cancer screening mammograms
2024-08-01 · 5 authors here
Women's views on using artificial intelligence in breast cancer screening: A review and qualitative study to guide breast screening services
2024-07-15 · 8 authors here
Defining change: Exploring expert views about the regulatory challenges in adaptive artificial intelligence for healthcare
2024-06-09 · 5 authors here
Frequency and characteristics of errors by artificial intelligence (AI) in reading screening mammography: a systematic review
2023-02-28 · 8 authors here
Artificial intelligence (AI) for breast cancer screening: BreastScreen population-based cohort study of cancer detection
2023-01-01 · 9 authors here
Australian women's judgements about using artificial intelligence to read mammograms in breast cancer screening
2022-01-01 · 13 authors here
Artificial intelligence (AI) to enhance breast cancer screening: protocol for population-based cohort study of cancer detection
2022-01-01 · 9 authors here
Utopia versus dystopia: Professional perspectives on the impact of healthcare artificial intelligence on clinical roles and skills
Funding
Read from the funding tables, never from the document count — that count includes authorship, so it ranks institutions, not funders.
Who funds this work
Funders named on the papers above. The record holds no recipient field, so this is reached through the documents themselves — and the two columns are two different claims, kept apart.
Under a named grant
funding_awards — the award carries a grant number
Listed as funder
doc_funder_links — named, with no grant number