Generative AI in Pediatric Gastroenterology.
John M RosenPublished in: Current gastroenterology reports (2024)
Although little research demonstrating the acceptance, practice, and outcomes associated with GAI in pediatric gastroenterology is published, there are relevant data adjacent to the specialty and overwhelming potential as professed in the media. Best practice guidelines are widely developed in academic publishing and resources to initiate and improve practical user skills are prevalent. Initial published evidence supports broad acceptance of the technology as part of medical practice by clinicians and patients, describes methods with which higher quality GAI can be developed, and identifies the potential for bias and disparities resulting from its use. GAI is broadly available as a digital tool for incorporation into medical practice and holds promise for improved quality and efficiency of care, but investigation into how GAI can best be used remains at an early stage despite rapid evolution of the technology.
Keyphrases
- healthcare
- quality improvement
- primary care
- early stage
- palliative care
- end stage renal disease
- newly diagnosed
- squamous cell carcinoma
- peritoneal dialysis
- systematic review
- adipose tissue
- gene expression
- sensitive detection
- insulin resistance
- climate change
- deep learning
- meta analyses
- radiation therapy
- sentinel lymph node
- loop mediated isothermal amplification