Assessing the effectiveness of artificial intelligence (AI) in prioritising CT head interpretation: study protocol for a stepped-wedge cluster randomised trial (ACCEPT-AI).
Kavitha VimalesvaranDennis RobertShamie KumarAyan KumarMariapola NarboneRahul DharmadhikariMark HarrisonSarim AtherAlex NovakMariusz GrzedaJane GoochNicholas WoznitzaMark HallHaris ShuaibDavid John LowePublished in: BMJ open (2024)
The study will be conducted in accordance with the principles of Good Clinical Practice. The protocol was approved by the Research Ethics Committee of East Midlands (Leicester Central), in May 2023 (REC (Research Ethics Committee) 23/EM/0108). Results will be published in peer-reviewed journals and disseminated in scientific findings (ClinicalTrials.gov: NCT06027411) TRIAL REGISTRATION NUMBER: NCT06027411.
Keyphrases
- artificial intelligence
- big data
- study protocol
- machine learning
- randomized controlled trial
- deep learning
- clinical practice
- public health
- systematic review
- clinical trial
- computed tomography
- open label
- phase iii
- contrast enhanced
- meta analyses
- magnetic resonance imaging
- global health
- image quality
- positron emission tomography
- dual energy
- phase ii
- pet ct