Protocol for evaluating the fitness for purpose of an artificial intelligence product for radiology reporting in the BreastScreen New South Wales breast cancer screening programme.
Matthew Warner-SmithKan RenChirag MistryRichard WaltonDavid M RoderNalini BholaSarah McGillTracey A O'BrienPublished in: BMJ open (2024)
This study has ethical approval from the NSW Health Population Health Services Research Ethics Committee (2022/ETH02397). Findings will be published in peer-reviewed journals and presented at conferences. The findings of this evaluation will be provided to programme managers, governance bodies and other stakeholders in Australian breast cancer screening programmes.
Keyphrases
- artificial intelligence
- big data
- machine learning
- public health
- deep learning
- study protocol
- healthcare
- randomized controlled trial
- physical activity
- body composition
- mental health
- global health
- meta analyses
- emergency department
- health information
- adverse drug
- clinical trial
- risk assessment
- drug administration
- breast cancer risk