AI application to diagnose lung cancer

Professor Tran Van Thuan, Deputy Minister of Health , said that AI technology for image diagnosis, targeted drugs based on gene mutations, immunotherapy and many other methods open up hope of life for patients who were once considered "hopeless".

The Vietnamese health sector (VN) is synchronously implementing four key orientations: giving top priority to preventive medicine, screening and early detection of lung cancer in the community, focusing on high-risk groups such as smokers, people working in toxic environments, people living in large, polluted cities; promoting the application of advanced science and technology, artificial intelligence, big data, molecular biology, cell medicine, genes and immunology to personalize treatment, increase survival rates, reduce treatment toxicity and improve the quality of life for patients; investing in the development of elite human resources, doctors, researchers, technicians and nurses of international stature, through bilateral and multilateral training cooperation programs, technology transfer and clinical research; Establish a connected, equitable, and humane healthcare ecosystem to ensure that people in all regions, regardless of geography or economic conditions, have access to quality healthcare services.

Ứng dụng AI chẩn đoán ung thư phổi giúp tăng cường khả năng phát hiện bệnh - Ảnh 1.

As a pioneer in Vietnam applying AI to diagnose lung cancer, Associate Professor Dao Xuan Co, Director of Bach Mai Hospital, said that he has coordinated with the University of Technology - Hanoi National University to develop AI software to support lung cancer diagnosis ( photo ).

The special feature of this software is the ability to analyze 3 main types of images at the same time: On chest CT images, the software automatically detects abnormal nodules and areas suspected of cancer, helping doctors orient themselves faster during the film reading process. On bronchoscopy images, the system identifies lesions in the bronchi, even in difficult-to-observe locations, and suggests locations that require biopsy. On histopathological images, the software supports cell classification, helping to determine the type of lung cancer (such as adenocarcinoma, squamous epithelium, etc.) with high accuracy.

Research and testing results show that the application works effectively, helping doctors detect lesions faster, more accurately and reduce the workload. This is also the first time in Vietnam that an AI application has been developed synchronously on all 3 types of lung cancer diagnostic images.

Source: https://thanhnien.vn/ung-dung-ai-chan-doan-ung-thu-phoi-185251013190747827.htm