Remote diagnostic imaging using artificial intelligence for diagnosing hip dysplasia in infants: Results from a mixed-methods feasibility pilot study.
Jackie LibonCandice NgAllan BaileyAbhilash HareendranathanReg JosephSukhdeep DulaiPublished in: Paediatrics & child health (2023)
It is feasible to implement a point-of-care ultrasound AI screening tool in primary care to screen for infants with DDH. Beyond improved screening and detection, this innovation was well accepted by patients and fee-for-service providers with a culture and history of innovation.
Keyphrases
- artificial intelligence
- primary care
- machine learning
- big data
- end stage renal disease
- deep learning
- ejection fraction
- magnetic resonance imaging
- newly diagnosed
- healthcare
- high resolution
- chronic kidney disease
- mental health
- peritoneal dialysis
- high throughput
- computed tomography
- study protocol
- patient reported outcomes
- general practice
- label free