Frank J. Veith and Rasit Dinc Examine Advancing AI Technologies in Contemporary Vascular Medicine
GlobePRwire
At a high-profile session during the 52nd annual VEITH Symposium, global leaders in vascular medicine convened to evaluate the transformative potential of emerging digital health and artificial intelligence (AI) technologies in endovascular disease management. The session featuring VEITH Symposium founder Frank J. Veith, and scientist Rasit Dinc, provided an expert analysis of how next-generation computational platforms may reshape clinical decision-making, procedural planning, and long-term vascular outcomes.
Widely regarded as one of the most influential scientific forums in vascular surgery and endovascular therapy, the VEITH Symposium continues its long-standing academic affiliation with the Cleveland Clinic, which supports the meeting and provides CME accreditation. This partnership reinforces the program’s global significance and advances international collaboration in digital health, interventional vascular therapeutics, and advanced imaging sciences.
A Global Platform for Vascular Innovation
The five-day meeting, known for its concise, rapid-fire presentations, draws thousands of vascular surgeons, interventional cardiologists, radiologists, and allied specialists from around the world. This year’s program underscored a marked expansion in sessions dedicated to AI, digital workflow integration, intravascular imaging, and computational modeling reflecting their rising impact on clinical practice.
Dinc, whose work on AI-enhanced intravascular imaging and endovascular planning has earned international attention, outlined how machine-learning algorithms and three-dimensional virtual modeling are beginning to optimize precision in complex vascular procedures.
AI as a Decision-Support Engine in Vascular Disease
In his remarks, Dinc emphasized that AI should be viewed as a decision-support engine rather than a replacement for clinical expertise. By integrating patient-specific imaging with computational simulation, he noted, clinicians can virtually test procedural scenarios before entering the operating room.
“Digitally evaluating potential treatment pathways in advance can reduce complication rates and improve procedural predictability, particularly in high-risk cases,” Rasit Dinc stated.
He explained that AI-driven simulation platforms hold significant value for the management of aortic aneurysms, peripheral artery disease, and complex vascular lesions, where anatomy and pathology vary widely across patients. Machine-learning systems trained on extensive clinical datasets can compare thousands of analogous cases and propose strategies associated with optimal outcomes.
Ethics, Transparency, and Scientific Rigor at the Center of Adoption
Dinc also addressed the broader ecosystem required for responsible implementation of medical AI. He highlighted four foundational pillars essential for progress:
- Algorithmic transparency and interpretability
- High-quality, representative datasets
- Robust ethical and legal frameworks
- Rigorous, prospective clinical validation
He underscored the necessity of multidisciplinary cooperation spanning engineering, medicine, data science, and law to ensure that digital systems enhance rather than complicate the delivery of vascular care.
Veith: Innovation Must Be Anchored in Evidence
In his commentary, Frank J. Veith reaffirmed vascular surgery’s longstanding reputation for embracing technological innovation but cautioned that new tools must be supported by strong scientific evidence.
The session also explored the interplay between AI-enabled decision-support systems, advanced imaging modalities, telemedicine tools, and remote monitoring technologies. Jointly, these capabilities may help reduce disparities between major referral centers and peripheral or resource-limited environments.
Dinc concluded by emphasizing that a well-structured digital health infrastructure can expand access to expert-level vascular care, mitigate geographic inequities, and strengthen global standards in endovascular therapy.