Artificial intelligence/machine learning for neuroimaging to predict hemorrhagic transformation: Systematic review/meta-analysis.
Richard DagherBurak Berksu OzkaraMert KarabacakSamir A DagherElijah Isaac RumbautLicia P LunaVivek Srikar YedavalliYing LiPublished in: Journal of neuroimaging : official journal of the American Society of Neuroimaging (2024)
AI/ML models can reliably predict the occurrence of HT in AIS patients. More prospective studies are needed for subgroup analyses and higher clinical certainty and usefulness.
Keyphrases
- artificial intelligence
- systematic review
- machine learning
- meta analyses
- big data
- deep learning
- end stage renal disease
- ejection fraction
- newly diagnosed
- chronic kidney disease
- risk assessment
- case control
- prognostic factors
- randomized controlled trial
- patient reported outcomes
- open label
- study protocol
- patient reported
- phase iii
- double blind