We Don’t Follow—We Define! China’s Intravascular Imaging Enters Its "DeepSeek" Era: Vivolight Medical Launches Its AI-OCT System

On September 20, at the 27th Annual Congress of the Chinese Society of Cardiology, the 23rd Interventional Cardiology Congress, and the 2025 Chang’an Cardiology Congress, the "Symposium on the Application of Artificial Intelligence-OCT (AI-OCT) in PCI Precision Diagnosis and Treatment" was grandly held in Xi’an. A gathering of leading experts in the field of cardiovascular intervention witnessed two pivotal launches by Vivolight Medical: its integrated function with AI-OCT Base Model and Cardiovascular DBdata Database (developed by Dongbi Data Technology). This milestone marks the entry of intravascular imaging-guided precision interventional therapy into a new era empowered by "large models."

About the AI-OCT

Developed based on Vivolight Medical’s OCT system, the AI-OCT is a next-generation intelligent decision-support system for intravascular imaging. It integrates scattered intravascular imaging diagnostic data—including lumen diameter, culprit lesions, OCT-FFR, and plaque natures—into comprehensive treatment strategies and actionable recommendations. As an independent research software embedded in the OCT platform, it is co-developed with various hospitals to create customized versions tailored to specific clinical needs.

A Collective Milestone for the Industry

The launch ceremony of the AI-OCT Model was jointly officiated by renowned cardiovascular experts. This moment formally ushered in the "large model era" for intelligent diagnosis and treatment in intravascular imaging, signaling a new chapter in the field.

From "Information Display" to "Clinical Insights": A Qualitative Leap

During the cutting-edge forum, experts emphasized that AI-OCT System represents a transformative shift from "viewing images" to "delivering treatment plans"—addressing the challenges of information overload and complex decision-making in cardiac interventional procedures, which traditionally rely heavily on physician experience. Key advantages of the system include:

● Real-time Intraoperative Guidance: It dynamically organizes diagnostic information during surgery, providing key metrics and clinical recommendations.

● Evidence-based Decision-Making: All suggestions align with expert consensus and clinical guidelines, ensuring rigor and reliability.

● Full Traceability: A dynamic database supports each recommendation, with complete documentation for transparency and safety.

● Full Offline Operation: Data is processed locally, safeguarding patient privacy and ensuring system stability.

The AI-OCT System adopts a "small model + big data + large model" architecture: small models enable precise image interpretation, while large models drive comprehensive clinical reasoning. Leveraging high-quality cardiovascular databases and Retrieval-Augmented Generation (RAG) technology, it delivers end-to-end support from lesion assessment to treatment strategy development.

Breaking Isolated Data Pools for Inclusive Healthcare

The newly launched Cardiovascular Database—China’s first domestic cardiovascular database system—was highlighted as a cornerstone for reliable medical AI. By integrating massive, high-quality multi-center data, it solves industry pain points such as Isolated Data Pools and inconsistent data quality. Experts noted that combining DBdata with advanced AI algorithms translates top-tier physicians’ expertise into standardized decision models, promoting equitable access to high-quality healthcare and enabling primary-care and young physicians to deliver consistent, high-level treatment.

Expert Consensus: AI Boosts Clinical Excellence in Healthcare

In the roundtable discussion, experts reached a unified view on AI’s role in cardiovascular care:

● AI products like AI-OCT are rooted in clinical needs, refined through real-world practice, and ultimately aim to empower clinicians and enhance healthcare quality and efficiency.

● Future development will rely on continuous optimization and clinical validation to achieve personalized, precision applications.

● While AI can improve the consistency of standardized medical tasks—such as helping most clinicians accurately identify surgical indications and contraindications—it cannot replace physicians’ role in medical innovation, particularly in developing new therapies or breakthrough technologies.

● The optimal approach lies in integrating AI’s computational efficiency with physicians’ clinical wisdom to unlock new possibilities in healthcare and drive innovation.

Experts concluded that AI-OCT represents the future of intravascular imaging. By providing intelligent decision support, it not only elevates individual physicians’ capabilities but also drives the industry toward standardization, precision, and homogenization—ultimately realizing the goal of high-quality development in vascular intervention.