Hanoi (VNA) – Artificial intelligence (AI) has significantly contributed to reducing errors in diagnostic imaging, helping to detect diseases at an early stage and increasing treatment outcome for patients, said Dr Bui Huy Huong, deputy director of the Thai Binh Lung Hospital, said.
Through the use of mobile x-ray vehicles and the application of AI, more people with suspected tuberculosis have been detected in Thai Binh province, he said, adding that AI can help radiologists find small lesions that are obscured by other organs and report on computer screens.
Huong said prevention and control of the pandemic have been improved to ensure the safety of local residents given the complex developments of the COVID-19 pandemic.
Associate Professor Dr Nguyen Viet Nhung, Director of the National Lung Hospital, said that, like COVID-19, tuberculosis infections should be detected as soon as possible, so with the application of AI in the early diagnosis of the tuberculosis, the risks of transmission in the community are reduced and the effectiveness of the treatment of patients would be increased. It will be a basis for promoting the development of AI technology applied to all professions in life, he said.
Thai Binh is one of seven provinces and cities benefiting from the project led by the United States Agency for International Development (USAID) in coordination with the National Tuberculosis Control Program for the proactive detection of tuberculosis cases in the community for households and people at high risk. .
The project uses a double X strategy – diagnosing tuberculosis using chest x-rays and GeneXpert, a diagnostic method that detects tuberculosis bacteria.
It has been implemented in 10 districts in seven provinces and cities, namely Can Tho, Dong Thap, Nghe An, Tay Ninh, Tien Giang, An Giang and Thai Binh./.