Facing the fact that the rate of missing lesions in gastrointestinal endoscopy is still high, one of the reasons is due to the patient’s colon cleansing process is not up to the standard, the Digestive Research and Training Institute, the liver. Security has researched and released the application “colon cleansing” on Android and iOS platforms.
Prof, Dr. Dao Van Long shared scientific information about digestive diseases. Facing the fact that the rate of missing lesions in gastrointestinal endoscopy is still high, one of the reasons is due to the patient’s colon cleansing process is not up to the standard, the Digestive Research and Training Institute, the liver. honey has researched and released the application “colon cleansing” on Android and iOS platforms. These are the information shared by Professor, Dr. Dao Van Long – former Director of Hanoi Medical University Hospital, former head of the gastroenterology department of Bach Mai Hospital, the Founding Council of the Digestive and Hepatology Research and Training Institute. at the launching ceremony of facility 2 of Hoang Long General Clinic on April 21st morning. According to Professor Dao Van Long, this is the first phone application in Vietnam to go deeply into the field of endoscopy to support patient guidance. Accordingly, when going to a colonoscopy and examination, the patient will download this application and directly manipulate the phone to monitor the entire colon cleaning process in the most detailed way. According to statistics, gastrointestinal and hepatobiliary diseases currently account for about 30% of the total number of patients visiting medical facilities, but the ability to respond is limited, and the number of endoscopists can only respond. corresponding to 5% – 10% of the population. Every day in large centers, there are more than 300 cases of endoscopy that can lead to missed lesions and endoscopic quality is not really guaranteed, there is a risk of infection from endoscopy. Therefore, the application of artificial intelligence (AI) in health in general and gastrointestinal endoscopy in particular is not only suitable for the current trend, but also a necessary direction for the medical industry by Great benefits such as contributing to improving the detection rate, avoiding missing injuries as well as saving human resources for health are currently in short supply. Currently, the Digestive and Hepatobiliary Research and Training Institute has initially developed software to apply artificial intelligence in endoscopy to detect colon polyps in Vietnam. When put into operation, the application will contribute to meeting the needs of screening and screening for polyps and colon cancer in our country, while enhancing Vietnam’s medical technology with new and progressive steps. more, comparable to regional and international. In particular, with the introduction of the new Fuji 7000 endoscopy system featuring advanced image magnification up to 290 times, LCI / BLI multi-beam technology combines short-wavelength light and white light for images. The high contrast of microchips and microstructure of the mucosal surface helps detect cancer in an early stage, even very early, but if endoscopy with white light will easily miss the lesion. 
Dr. Dao Viet Hang shares scientific information on AI application in colonoscopy. Dr. Dao Viet Hang, Deputy Director of Hanoi Medical University Hospital Endoscopy Center, Deputy General Secretary of the Vietnam Society of Gastrointestinal Science, said software applying artificial intelligence in endoscopy to detect polyps colon in Vietnam will build an effective machine learning algorithm for detecting and localizing polyps through endoscopic images; initially assessing the accuracy of colon polyps detection and localization algorithm. “We expect that in the next 1-2 years, Vietnam will launch a system applying artificial intelligence algorithms so that doctors in remote and deep areas can learn about lesion classification and detection of lesions. This system is attached to different endoscopy systems at the grassroots level, reducing the injury detection rate “, Dr. Hang shared.
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