Smart Clinical Symptom Diagnosis System
The Smart Clinical Symptom Diagnosis System is a smart chatbot that identifies potential illnesses by analyzing patients’ symptoms through targeted questioning. Currently covering approximately 110 medical symptoms across different age and gender groups, this system is now available to patients.
Key Features:
- Symptom Analysis: Users can report symptoms (e.g., headache, body pain, anxiety, depression, dizziness, sleep disorders).
- AI-Powered & LLM-Based Intent Understanding:Leverages advanced AI and large language models to accurately interpret user-reported symptoms, ensuring precise medical guidance through natural, context-aware interactions.
- Rule-based Decision Tree: The system intelligently analyzes symptoms via Q&A and guides users toward appropriate actions (e.g., visiting a doctor or emergency care).
- Non-Interventional: Designed solely for guidance and education, it directs users to timely healthcare services while avoiding unnecessary medical visits.
- Evidence-Based Algorithms: Built on the latest medical research and data from reliable international sources.
Impact:
- 20% potential reductionin healthcare costs by minimizing redundant visits (based on published studies).
- Resource Optimization: Prevents strain on healthcare systems by reducing non-urgent visits.
Technology:
- AI-Driven Diagnosis: Combines artificial intelligence with chatbot interactivity for rapid, user-friendly assistance.
- Real-Time Efficiency: High-speed processing eliminates user wait times.
Goal: To raise awareness about medical symptoms, promote timely doctor visits, and enhance individual/community health outcomes.