AI-Enhanced CT Workflow in Acute Stroke
Stroke is a leading cause of death and disability worldwide, and timely diagnosis and treatment are crucial for improving patient outcomes. Computed tomography (CT) is the most widely used imaging modality for stroke evaluation, but it requires manual interpretation and processing, which can be time-consuming and prone to errors. Artificial intelligence (AI) has the potential to enhance the CT workflow in acute stroke by automating tasks such as image acquisition, lesion detection, and perfusion analysis.
This workshop will discuss the current state-of-the-art CT imaging and future directions of AI applications for acute stroke diagnosis and management. The use case will be the automation platform and Vitrea Advanced Visualisation. The challenges and opportunities of implementing AI solutions in clinical practice will be discussed.
This educational talk offers 1 CPD credit.
Speaker
Dr. Anton Meijer
Radiologist
Radboud University Medical Center,Nijmegen, Netherlands
Course Information
By the end of this lecture, delegates will:
- Learn how AI can enhance CT workflow in acute stroke care
- Learn about the advantages and limitations in implementing AI in clinical practice
This educational talk was created in February 2024. All information contained in these sessions were correct at the time of recording.
Disclaimer: Appearing on the Canon Medical Academy does not represent a commercial partnership or interest from the speaker. The views herein do not represent the views of Canon Medical Systems Ltd.
