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AI Cancer Scans Reach Remote Xinjiang
12 Feb
Summary
- AI system improves early cancer detection in remote areas.
- System achieves over 96% accuracy in distinguishing tumors.
- Over 1.3 million screenings conducted by AI since May 2023.

Professor Liu Wen, based at the Xinjiang Institute of Engineering, has spearheaded the development of an innovative AI-powered diagnostic system designed to significantly improve early cancer detection. This technology aims to extend vital medical services to individuals residing in remote communities, overcoming the substantial geographic barriers present in regions like the Xinjiang Uygur autonomous region.
Since May 2023, Liu's system has been instrumental in grassroots healthcare, assisting primary medical institutions across Xinjiang in conducting over 1.3 million screenings. The AI achieves an accuracy rate exceeding 96% in distinguishing between benign and malignant tumors, identifying suspected cancerous cells with millimeter-level precision across twelve areas including the breast, thyroid, and abdomen.
The initiative, launched in 2019 with a cross-disciplinary team, has also focused on training. To date, 27 training sessions have been conducted, educating over 9,000 medical personnel. Liu views this technological advancement as a means to translate innovation into tangible social benefits, ensuring expert medical advice is available locally without the need for extensive travel.




