VASC.AI — The Future of Vascular Care:
Empowering clinicians.
Supporting patients.
Transforming outcomes.
An academic and clinical nonprofit creating intelligent tools that transform vascular care through AI, education, equity, and evidence-based design.
What We Do
Our journey began with a shared vision: to use artificial intelligence to make vascular care more precise, accessible, and patient-centered. Founded by vascular surgeons, engineers, and researchers, VASC.AI is a nonprofit collaboration rooted in clinical insight and academic rigor. What started as a simple idea — that better access to evidence saves lives — has grown into a platform developing intelligent tools to support the decisions that matter most. With every algorithm, interface, and conversation, we aim to bridge the gap between data and care. Our team brings together the deep expertise of surgical practice with the innovation of AI to serve one mission: transform vascular outcomes through thoughtful, evidence-driven technology. We’re not building tools for the sake of innovation. We’re building them for the patients behind every decision, and the clinicians working tirelessly to give them the best.
Our Capabilities
Advanced clinical search meets vascular expertise
We’ve developed vascular surgery–specific Retrieval-Augmented Generation (RAG) systems that bring AI from theory to bedside.
Our models generate precise, cited, and context-aware responses to clinician queries. Our latest Modular RAG architecture builds on this by enabling complex, multi-step reasoning tailored to specific vascular conditions and workflow needs.
AI that learns from vascular outcomes
We’re creating custom large language models that go beyond summarizing research — they help forecast outcomes.
By training on datasets that include clinical variables, operative details, and patient trajectories, our models support decision-making with recommendations grounded in outcome trends and real-world vascular surgery data.
Lightweight, specialized, and open-source
To promote equitable access, we’re building vascular-specific Small Language Models (SMLs) and Large Language Models (LLMs) that operate with minimal computational power while retaining clinical precision.
Designed for real-time use in the OR or on mobile devices, these models assist with documentation, risk scoring, and decision support — even in resource-limited environments.
Personalized support beyond the clinic
We are developing tools like vascBUDDY, an AI-powered health companion for patients with vascular conditions. These applications empower users to track their vitals, understand medications, and receive personalized, evidence-based guidance.
By placing intelligent, reassuring advice in patients’ hands, we support adherence, engagement, and improved long-term outcomes — from hospital to home.
