临床PK完胜ChatGPT-5！国内团队造出首个OCT影像AI系统

Core Viewpoint - The CA-GPT system, a specialized AI for percutaneous coronary intervention (PCI), significantly outperforms the general model ChatGPT-5 in decision-making for cardiac surgeries, indicating a breakthrough in the application of AI in the medical field [1][3]. Group 1: Performance Comparison - In a clinical study involving 96 patients and 160 lesions, the CA-GPT system achieved a median decision score of 5.0, compared to ChatGPT-5's score of 3.0, demonstrating a statistically significant advantage (P<0.001) [11]. - The accuracy of stent diameter selection by CA-GPT reached 90.3%, while ChatGPT-5 only achieved 63.9%, which is lower than the 72.2% accuracy of junior physicians [11]. - For stent length selection, CA-GPT's accuracy was 80.6%, compared to ChatGPT-5's 54.2% [11]. Group 2: Clinical Impact - The CA-GPT system can analyze OCT images and generate structured reports in under 20 seconds, reducing the interpretation time by over 95% compared to traditional methods [10]. - The system's high stability and accuracy stem from its architecture, which combines small models, large data, and a large model, allowing for precise analysis and logical reasoning [19][21]. - The CA-GPT system aims to democratize medical expertise, providing junior doctors in remote areas with access to top-tier decision-making support, effectively bridging the gap in medical resource distribution [25][26]. Group 3: Technological Framework - The CA-GPT system integrates 13 core functions for structured analysis of OCT images, enabling rapid and accurate decision-making [21]. - It utilizes the DeepSeek framework for logical reasoning based on precise quantitative data provided by smaller models, enhancing the reliability of its recommendations [21]. - The system is linked to a knowledge base containing over 1 million cardiovascular literature and guidelines, ensuring that AI decisions are grounded in expert consensus [21]. Group 4: Future Implications - The introduction of the CA-GPT system marks a significant milestone for Chinese medical technology, showcasing the ability to define standards in high-end intravascular imaging rather than merely following Western advancements [30]. - This development represents a pivotal moment for AI in healthcare, emphasizing the importance of combining deep learning precision with reasoning capabilities to address real clinical challenges [30][31].