A Comparison of CT Perfusion Output of RapidAI and Viz.ai Software in the Evaluation of Acute Ischemic Stroke.
Saif BushnaqAmeer E HassanAdam DeloraAli KerroAnita DattaMohamad EzzeldinZuhair AliTunmi AnwojuLayla NejadRene SilvaYazan Diya AbualnadiZorain Mustafa KhalilPublished in: AJNR. American journal of neuroradiology (2024)
Penumbra and infarct core predictions between Rapid and Viz.ai correlated but were statistically different and resulted in equivalent triage using DAWN and DEFUSE3 criteria. Viz.ai predicted higher ischemic core volumes than RapidAI. Viz.ai predicted lower combined core and penumbra values than RapidAI at lower volumes and higher estimates than RapidAI at higher volumes. Clinicians should be cautious when using different software packages for clinical decision-making.
Keyphrases
- artificial intelligence
- acute ischemic stroke
- decision making
- emergency department
- machine learning
- contrast enhanced
- computed tomography
- deep learning
- palliative care
- acute myocardial infarction
- ischemia reperfusion injury
- magnetic resonance
- oxidative stress
- acute coronary syndrome
- coronary artery disease
- percutaneous coronary intervention