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I. Diagnostic Assistance and Decision Support
AI Algorithm Integration: Embedding AI algorithms into the computer enables rapid analysis of medical records and imaging datas, offering doctors diagnostic suggestions.
Disease Prediction: AI models analyze patient history and symptoms to predict disease progression, aiding in precise treatment planning.
Intelligent Recommendations: Based on symptoms and test results, AI can suggest appropriate diagnostic procedures or treatment options.
II. Intelligent Triage and Guidance
Symptom Analysis: Input patient symptoms via the touchscreen, and the AI system quickly recommends suitable departments or doctors.
Appointment Management: AI intelligently schedules appointments based on patient needs and doctor availability, enhancing clinic efficiency.
III. Medical Imaging Analysis
Image Recognition: AI image recognition technology rapidly analyzes X-rays, CT-scans, MRIs, etc., assisting doctors in identifying abnormalities.
Automatic Annotation: AI automatically marks abnormal areas in images, improving diagnostic efficiency.
3D Reconstruction: AI technology reconstructs 3D images, providing doctors with a more intuitive understanding of the condition.
IV. Smart Health Monitoring
Real-Time Monitoring: Connected to medical sensors (e.g., heart rate monitors, blood pressure devices), the device collects patient data in real-time, with AI analyzing for abnormalities.