“主任级AI医生”，来了

Core Viewpoint - The article discusses the advancements and applications of AI in healthcare, particularly focusing on the Quark Health model, which has successfully passed rigorous medical examinations and is being integrated into clinical practices to assist healthcare professionals and improve patient care [10][11][12]. Group 1: AI Model Development and Performance - The Quark Health model has passed 12 core medical subject examinations, achieving a high accuracy rate of 90.78% for diseases with diagnostic tests and 85.51% for complex diseases, indicating its capability to assist doctors effectively [13][14]. - The model's development involved a large-scale data resource library and a professional team of over 400 medical experts, ensuring high-quality data support for its training [11][12]. - The model's design incorporates a "slow thinking ability," allowing it to handle complex medical problems through multi-stage reasoning and clinical path modeling [16][17]. Group 2: Applications in Clinical Settings - The Quark Health model is being utilized in various healthcare settings, such as smart health stations and hospitals, to enhance patient interactions and treatment plans [6][8]. - It provides comprehensive suggestions for treatment adjustments, long-term management, and psychological support, demonstrating its versatility in addressing patient needs [14][15]. - The model has gained popularity among medical students and professionals, with over 2 million monthly active users among medical students, reflecting its growing acceptance in the medical community [13][17]. Group 3: Future Trends in Healthcare - The integration of AI in healthcare is seen as a significant trend, with experts emphasizing that while AI may not replace doctors, it will enhance their capabilities and improve patient care [15][16]. - The model's ability to reduce information asymmetry between patients and healthcare providers encourages more active patient participation in their treatment processes [17]. - As AI technology continues to evolve, its applications in real clinical scenarios are expected to expand, further transforming the healthcare landscape [16][17].