Alejandro A. Rabinstein

Interpretable Machine Learning Modeling for Ischemic Stroke Outcome Prediction

2022 · 63 Zit. · Frontiers in Neurology

Batch enrollment for an artificial intelligence-guided intervention to lower neurologic events in patients with undiagnosed atrial fibrillation: rationale and design of a digital clinical trial

2021 · 30 Zit. · American Heart Journal

Developing DELPHI expert consensus rules for a digital twin model of acute stroke care in the neuro critical care unit

2023 · 22 Zit. · BMC Neurology

Predictive modeling in neurocritical care using causal artificial intelligence

2021 · 18 Zit. · World Journal of Critical Care Medicine

291: DEVELOPING DELPHI EXPERT CONSENSUS RULES FOR A DIGITAL TWIN MODEL OF THE NEURO CRITICAL CARE UNIT

2022 · 4 Zit. · Critical Care Medicine

Discrepancies between current and ideal endovascular stroke treatment practice in Europe and North America: Results from UNMASK EVT, a multidisciplinary survey

2020 · 4 Zit. · Interventional Neuroradiology

Correction to: Definition and Prioritization of Data Elements for Cohort Studies and Clinical Trials on Patients with Unruptured Intracranial Aneurysms: Proposal of a Multidisciplinary Research Group

2021 · 0 Zit. · Neurocritical Care

E-110 Endovascular treatment decision in acute stroke: does physician sex matter? insights from an international multidisciplinary survey

2019 · 0 Zit.

E-093 Geographical variation in the decision to proceed with endovascular treatment under ‘current’ and ‘ideal’ settings

2019 · 0 Zit.