Early experience utilizing artificial intelligence shows significant reduction in transfer times and length of stay in a hub and spoke model.
Ameer E HassanVictor M RingheanuRani R RabahLaurie PrestonWondwossen G TekleAdnan I QureshiPublished in: Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences (2020)
The incorporation of AI software was associated with an improvement in transfer times for LVO patients as well as a reduction in the overall hospital LOS and LOS in the neurological-ICU. More extensive studies are warranted to expand on the ability of AI technology to improve transfer times and outcomes for LVO patients.
Keyphrases
- artificial intelligence
- end stage renal disease
- ejection fraction
- newly diagnosed
- chronic kidney disease
- machine learning
- healthcare
- big data
- intensive care unit
- type diabetes
- metabolic syndrome
- adipose tissue
- weight loss
- brain injury
- patient reported
- acute respiratory distress syndrome
- network analysis
- cerebral ischemia
- electron transfer