The colon cancer warning signs that we are able to observe on our own include mucus in stool, lumps found in the lower right abdominal area through palpation, small stool size (a result of large cancerous growth blocking the colon), irregular bowel movement, e.g., constipation, chronic diarrhea, alternating constipation and diarrhea, weight loss, loss of appetite, etc. which are the symptoms of the late stage of colon cancer.
“Therefore, you should not wait for symptoms to appear first. If you are over 50 or have risk factors, it is recommended that you receive a colonoscopy or other screening procedures according to the standard guideline. This action should be done earlier in those who have a family history of colon cancer or have suffered from chronic colitis.”
Currently, colonoscopy or lower GI endoscopy are the standard approach to detect abnormalities that representing early colonic neoplasm such as polyps in the colon. The procedures are quite challenging due to the various forms of polyps: raised ones, and flat ones that grow on the surface of the intestines. They may be small, and the color may blend in with the surrounding area, making it easy to be misdiagnosed if the endoscopists are less experience or fatigue. According to statistics, up to 22 percent of tests can be an erroneous. bangkok university
Assoc. Prof. Dr. Peerapon Vateekul, from the Faculty of Engineering, Chulalongkorn University, discussed the development of an AI-assisted solution system that helps endoscopists to work more efficiently and reduce such mistakes, “DeepGI will process the images captured from the video footage during the procedure and detect abnormalities by the AI using machine learning technique called “Deep Learning”. The model will set a bounding box annotating the abnormal area and alert doctors in real-time with over 90 percent accuracy. The AI will also accurately produce characterization of the polyps if they are potentially becoming malignant in the future (Neoplastic) or benign (Hyperplastic). This additional capability supports doctors’ confidence in their diagnoses.”
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