Enhancing trainee performance in obstetric ultrasound through an artificial intelligence system: randomized controlled trial.
Ting LeiQiao ZhengJ FengL ZhangQ ZhouM HeM LinHong-Ning XiePublished in: Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology (2024)
By assisting inexperienced trainees in obtaining and interpreting standard basic obstetric scanning views, the use of artificial intelligence-assisted systems has the potential to improve training effectiveness. © 2024 International Society of Ultrasound in Obstetrics and Gynecology.
Keyphrases
- artificial intelligence
- randomized controlled trial
- machine learning
- big data
- deep learning
- pregnant women
- magnetic resonance imaging
- study protocol
- ultrasound guided
- contrast enhanced ultrasound
- systematic review
- high resolution
- electron microscopy
- risk assessment
- primary care
- clinical trial
- general practice
- human health
- meta analyses