Artificial intelligence (AI) to enhance breast cancer screening: protocol for population-based cohort study of cancer detection.
M Luke MarinovichElizabeth WylieWilliam LotterAlison M PearceStacy M CarterHelen LundAndrew WaddellJiye G KimGavin F PereiraChristoph I LeeSophia ZackrissonMeagan BrennanNehmat HoussamiPublished in: BMJ open (2022)
This study has ethical approval from the Women and Newborn Health Service Ethics Committee (EC00350) and the Curtin University Human Research Ethics Committee (HRE2020-0316). Findings will be published in peer-reviewed journals and presented at national and international conferences. Results will also be disseminated to stakeholders in Australian breast cancer screening programmes and policy makers in population screening.
Keyphrases
- artificial intelligence
- big data
- public health
- machine learning
- deep learning
- healthcare
- endothelial cells
- randomized controlled trial
- polycystic ovary syndrome
- papillary thyroid
- mental health
- squamous cell carcinoma
- systematic review
- pregnant women
- metabolic syndrome
- pregnancy outcomes
- skeletal muscle
- induced pluripotent stem cells
- decision making
- real time pcr
- meta analyses
- squamous cell
- pluripotent stem cells
- lymph node metastasis