Development Solution for Medical AI Image Recognition
Smart Surgery offers high-quality and professional development solutions for medical AI image recognition. We develop customized systems tailored to the specific needs of institutions, hospital projects, departmental units, and specialist physicians.
The 3 stages of system development
Stage 1
Medical Image Annotation
Smart Surgery has a professional and experienced medical image annotation team and owns a patented image annotation system, which can ensure the accuracy and efficiency of the annotation service.
- Senior anatomy experts
- Physicians
- Nurses
- Biomedical
Note: The quantity of annotated image data will affect the accuracy of subsequent development of medical AI image recognition. The more annotated data available, the more accurate the recognition will be.
Stage 2
AI Model Building and Testing
The AI model building process involves:
- Model training
- Model testing
- Performance Evaluation
- Adjustment
Stage 3
Clinical Trials and Registration
Smart Surgery can also assist clients in conducting medical device clinical trials and TFDA device registration, facilitating product launch according to the requirements.
Development Case
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Endoscopic image recognition: orthopedic surgery
Da Vinci image recognition: obstetric Surgery
Laparoscopy image recognition: general surgery
Static image recognition: cavities
CT/MRI image recognition
Collagen image recognition
