Qwen Medical Q&A: Clarifies Symptoms Before Layered Diagnosis

Recently, @socialwithaayan shared their experience using the Qwen large language model for medical queries, sparking interest. The model's "clarify first, diagnose later" approach and its ability to integrate traditional Chinese and modern medicine earned it a better evaluation than mainstream models like ChatGPT.

Key Details and User Experience

The author tested Qwen after experiencing right eye twitching for four days. Unlike ChatGPT, which tends to give a conclusion first and ask follow-up questions later, Qwen did not jump to a conclusion. Instead, it asked four clarifying questions regarding symptom duration, whether it was a single eye, and recent sleep and stress levels. After receiving the user's answers, the model provided a layered judgment and possible causes, listing 10 verified medical references at the bottom. Additionally, the tool supports image uploads and multi-turn follow-ups, is completely free, and has no subscription fees or usage limits.

Background and Capability Assessment

The posts mentioned that Qwen combines modern medical and traditional Chinese medicine concepts within a single model. It has reportedly passed 12 Chinese doctor-level exams, as well as pharmacist and traditional Chinese medicine practitioner exams. Based on practical experience, @socialwithaayan felt that Qwen provided a more in-depth analysis for issues like persistent eye twitching than their commonly used ChatGPT, Claude, and Gemini, and also outperformed standard search engine results.

2026-07-09 ~ 2026-07-09 · 5 related posts