false
OasisLMS
Catalog
SVU On Demand Webinar 092425: Artificial Intellige ...
Artificial Intelligence in the Vascular World
Artificial Intelligence in the Vascular World
Back to course
[Please upgrade your browser to play this video content]
Video Transcription
Video Summary
The webinar, led by Manan Vora and hosted by SVU, explored the evolving role of artificial intelligence (AI) in vascular technology. Beginning with a tribute to pioneer Barton Bean, the session shifted to defining AI as a field where machines simulate human intelligence to perform tasks like learning, reasoning, and decision-making. AI technologies rely on machine learning, natural language processing, and data analysis to improve continuously.<br /><br />In healthcare, AI is advancing rapidly, particularly in radiology, with applications including image recognition, diagnostic assistance, and personalized treatment planning. AI software can analyze medical images such as CT, MRI, and ultrasound scans to detect abnormalities like tumors, stenosis, and aneurysms more efficiently and accurately. AI-driven tools also facilitate workflow by automating vessel identification, measurement, and report generation, potentially reducing technologist stress and human error.<br /><br />In vascular surgery, AI aids early detection and rupture risk assessment of aneurysms, surgical planning via 3D modeling, and postoperative monitoring using predictive analytics and wearable devices. Although AI's presence in ultrasound is growing—enhancing plaque analysis, Doppler interpretation, and image quality—the technology remains operator-dependent.<br /><br />Concerns were raised about AI's impact on job security, with Manan suggesting AI will augment rather than replace technologists, who retain a crucial role given the skill and variability involved in imaging. AI's cost and adoption vary, with some clinical trials underway.<br /><br />Overall, AI promises to standardize protocols, improve diagnostic accuracy, streamline reporting, and enhance patient outcomes, but its integration requires careful collaboration, verification of data, and ongoing refinement. The presentation concluded that AI is a powerful tool that, when responsibly developed, can transform vascular medicine across clinical practice, research, and education.
Keywords
Artificial Intelligence
Vascular Technology
Machine Learning
Radiology
Medical Imaging
Aneurysm Detection
Ultrasound
Workflow Automation
Predictive Analytics
Vascular Surgery
×
Please select your language
1
English