Construction and development of a set of artificial intelligence algorithms that perform an automatic audit of the quality of the endoscopic procedure, by verifying the exploration protocol - K. Yao systematic endoscopy.
To improve the quality of Endoscopy procedures, by verifying the systematic exploration protocol with an automatic audit program of the endoscopic procedure, which supports early detection of gastric cancer in the Colombian South-Western regions.
Project that structures an academic network of computational pathology that integrates specialists with different levels of expertise in the assessment of biological material in different stages of the disease that can be detected and quantified to establish correlations with clinical variables such as prognosis or the possibility of recurrence.
To reduce diagnostic times and objectively stage microscopic samples from the stomach, through the implementation of artificial intelligence methods and the construction of a prototype telepathology computer platform in the Nariño Department.
