A5048277550- Venous Thromboembolism Diagnosis and Management
- Cerebrovascular and Carotid Artery Diseases
- Radiology practices and education
- Artificial Intelligence in Healthcare and Education
- Radiomics and Machine Learning in Medical Imaging
- Acute Ischemic Stroke Management
- Vascular Malformations and Hemangiomas
- Cardiovascular Health and Disease Prevention
- Gastrointestinal disorders and treatments
- Clinical practice guidelines implementation
- Electrospun Nanofibers in Biomedical Applications
- Infectious Aortic and Vascular Conditions
- Diagnosis and Treatment of Venous Diseases
- Peripheral Artery Disease Management
- Advanced Radiotherapy Techniques
- Economic and Financial Impacts of Cancer
- Cardiovascular Function and Risk Factors
- Infective Endocarditis Diagnosis and Management
- Cardiac, Anesthesia and Surgical Outcomes
- Health Systems, Economic Evaluations, Quality of Life
- Intensive Care Unit Cognitive Disorders
- Advanced X-ray and CT Imaging
- Intracranial Aneurysms: Treatment and Complications
- Gastric Cancer Management and Outcomes
- Transplantation: Methods and Outcomes
University of Toronto
2017-2025
University Health Network
2024-2025
Sunnybrook Health Science Centre
2017
Health Sciences Centre
2017
Purpose: A survey to determine the availability of after-hours IR on-call services at Ontario hospitals that have a radiology department. secondary outcome is potential barriers provision on call within province. Methods: was created and distributed department heads across during 6-week period in 2024. Results: The sent 73 province Ontario. Survey completion rate 41% (30/73). Two thirds respondents had formal divisions (20/30, 66.7%). total 14 with departments offered (70%, 14/20) 2 without...
Abstract Introduction Common goals for procedural sedation are to control pain and ensure the patient is not moving an extent that impeding safe progress or completion of procedure. Clinicians perform regular assessments adequacy in accordance with these inform their decision‐making around titration also documentation care provided. Natural language processing could be applied real‐time transcriptions audio recordings made during procedures order classify states involve movement pain, which...
Determine if a large language model (LLM, GPT-4) can label and consolidate analyze interventional radiology (IR) microwave ablation device safety event data into meaningful summaries similar to humans.
Background: Pulmonary embolism (PE) is an important cause of death and disability. Advances in catheter-directed therapies have led to the use devices, such as Inari FlowTriever Penumbra Indigo system for aspiration thrombectomy (AT) both massive sub-massive PE. However, limited data exist on causes procedural mortality. Methods: Analysis Food Drug Administration’s (FDA) Manufacture User Facility Device Experience (MAUDE) database was performed. Data systems were evaluated mortality events...
Background: Stroke is a devastating consequence of plaque rupture from the carotid arteries. Current management plaques involves waiting for symptoms (e.g., stroke or mini-stroke), as intervention itself has risk and not all are vulnerable to rupture. There need better risk-stratify that causes stroke. Carotid ultrasound (US) non-invasive inexpensive visualization but limited by human interpretation. We hypothesize convolutional neural networks (CNNs) will identify unique features automated...