A5092991827- Venous Thromboembolism Diagnosis and Management
- Acute Ischemic Stroke Management
- Traumatic Brain Injury and Neurovascular Disturbances
- Intracerebral and Subarachnoid Hemorrhage Research
- Ultrasound in Clinical Applications
- Neurosurgical Procedures and Complications
- Cervical and Thoracic Myelopathy
- Radiation Dose and Imaging
- Acute Myocardial Infarction Research
- Machine Learning in Healthcare
University of Alabama at Birmingham
2023-2024
Background Artificial intelligence (AI) algorithms have shown high accuracy for detection of pulmonary embolism (PE) on CT angiography (CTPA) studies in academic studies. Purpose To determine whether use an AI triage system to detect PE CTPA improves radiologist performance or examination and report turnaround times a clinical setting. Materials Methods This prospective single-center study included adult participants who underwent suspected practice Consecutive were evaluated two phases,...
Retrospective studies evaluating artificial intelligence (AI) algorithms for intracranial hemorrhage (ICH) detection on noncontrast CT (NCCT) have shown promising results but lack prospective validation.
Artificial intelligence (AI) algorithms improved detection of incidental pulmonary embolism (IPE) on contrast-enhanced CT (CECT) examinations in retrospective studies; however, prospective validation studies are lacking.