夸克通过“主任医师级”笔试，健康大模型如何解准确性难题？

Core Insights - The current pain point for health large models is insufficient accuracy, as stated by Quark Health's product head [1] - Quark Health's large model has become the first in China to pass the written assessment for chief physicians, following its earlier success with deputy chief physician exams [1] - The global AI in healthcare market is projected to grow from $11 billion in 2021 to $194 billion by 2028, with a compound annual growth rate (CAGR) exceeding 41% [1] Group 1: Challenges and Developments - Health large models face challenges related to the accuracy of consumer-selected prompts and the development of multimodal capabilities, which affect the output of model responses [2] - A significant breakthrough for Quark Health's large model is the development of "slow thinking ability," which integrates chain reasoning and multi-stage clinical reasoning to address complex medical issues [2] Group 2: Training and Commercialization - To build slow thinking ability, high-quality reasoning training data is essential, with Quark categorizing medical data into "verifiable" and "non-verifiable" types for different tasks [5] - Quark Health's large model has a professional annotation team of over 1,000, including more than 400 senior medical experts, highlighting the importance of clinical data and human input for model development [5] - Currently, Quark Health is not considering commercialization, but potential future directions may include health record management and diagnostic service transformations [5]