We provide efficient labeling tools and data-centric solutions



Medical Data Intelligence Platform Our medical data intelligence platform is designed to address the crucial need for labeled medical image datasets by providing efficient labeling tools and advanced pre-labelling capabilities. By leveraging our platform, the time required for manual labeling by doctors is significantly reduced. By reducing the reliance on manual annotation, our platform optimizes the workflow for medical image analysis, making it more efficient and cost effective. Read More

Self-developed multi-modal models designed for pathological data and large language models that enhance pathological knowledge. the foundation model solutions for pain points in diagnosis, teaching, and scientific research scenarios. Read More

Established in May 2023, the medical data intelligence laboratory is part of the Information Hub of the Hong Kong University of Science and Technology (Guangzhou), integrating educating, research, and innovative practice. In collaboration with Anbiping, it aims to transform from "model-centric" to "data-centric", focusing on:

• Solving cutting-edge AI application issues in the field of pathological diagnosis.
• Designing efficient automatic and semi-automatic annotation algorithms for a vast amount of pathological diagnostic data to enhance clinical utility and provide diagnostic result interpretation references.
• Overcoming technical challenges in real-world applications to promote the intelligent development of the pathology industry.
  
  

Our lab focuses on the combination of industry, education and research, promotes the transformation and application of scientific research results, and contributes to the development of the medical and health industry in the Guangdong-Hong Kong-Macao Greater Bay Area.
This project is supported by Guangzhou LBP Medicine Science & Technology Co., LTD. And under development among HKUST(GZ).

• 750,000 pairs Clinical High-quality Pathological Graph Data
• 550+ Pathology Textbooks at Home and Abroad
• 8 million+ Chinese and English Medical Instruction Q&As
• 2,000+ Medical Research