VEITH Symposium introduces new AI applications in vascular care led by Veith and Dinc
new york, November 20, 2025 /PRNewswire/ — Frank J. Veiss and Russit Dink A featured session at the 52nd Annual VEITH Symposium presented new expert insights on the role of advances in artificial intelligence (AI) technology in modern vascular medicine. Their discussion outlined how emerging computational platforms have the potential to impact clinical decision-making, surgical planning, and long-term outcomes of overall endovascular treatment.
The session, held at one of the field’s leading global forums, highlighted the growing importance of AI-enabled imaging, simulation, and digital workflow tools in vascular surgery and interventional practice. The VEITH Symposium, organized in academic partnership with the Cleveland Clinic, continues to serve as a platform to showcase new advances and shape international perspectives on the future of vascular innovation.
Global platform for vascular innovation
The five-day conference, known for its concise, rapid-fire presentations, brings together thousands of vascular surgeons, interventional cardiologists, radiologists, and related professionals from around the world. This year’s program has significantly expanded sessions dedicated to AI, digital workflow integration, intravascular imaging, and computational modeling, reflecting their growing impact on clinical practice.
Dinc, who has received international attention for his research in AI-enabled intravascular imaging and planning, outlined how machine learning algorithms and three-dimensional virtual modeling are beginning to optimize the accuracy of complex vascular procedures.
AI as a decision support engine in vascular disease
In his talk, Dinc emphasized that AI should be seen as a decision support engine, not a replacement for clinical expertise. By integrating patient-specific imaging and computational simulation, clinicians can virtually test surgical scenarios before entering the operating room, he said.
“By proactively digitally assessing potential treatment pathways, we can reduce the incidence of complications and improve the predictability of procedures, especially in high-risk cases,” said Rasit Dinc.
He explained that AI-driven simulation platforms have great value in the management of aortic aneurysms, peripheral artery disease, and complex vascular lesions, where the anatomy and pathology vary widely from patient to patient. Machine learning systems trained on extensive clinical datasets can compare thousands of similar cases and suggest strategies associated with optimal outcomes.
Ethics, transparency and scientific rigor at the heart of adoption
Dinc also addressed the broader ecosystem required for responsible implementation of medical AI. He emphasized four fundamental pillars that are essential for progress.
- Algorithm transparency and interpretability
- High quality and representative datasets
- Robust ethical and legal framework
- Rigorous and prospective clinical validation
He emphasized the need for interdisciplinary collaboration across engineering, medicine, data science, and law to ensure that digital systems enhance, rather than complicate, the delivery of vascular care.
Wies: Innovation must be supported by evidence
In his commentary, Frank J. Veith reaffirmed vascular surgery’s longstanding reputation for embracing innovation, but cautioned that new tools must be supported by strong scientific evidence.
This session also explored the interactions between AI-enabled decision support systems, advanced imaging modalities, telemedicine tools, and remote monitoring technologies. Together, these features have the potential to reduce disparities between major referral centers and peripheral or resource-limited settings.
Dinc concluded by emphasizing that a well-structured digital health infrastructure can expand access to expert-level vascular care, reduce geographic inequalities, and strengthen global standards for endovascular treatment.
contact
alex dupont
VEITH Symposium
alexdupontme@gmail.com
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