Researchers at the Faculty of Medicine of Nkong University of China tested the impact of artificial intelligence on the sovereignty and diagnostic methods of colonoscopy. And they were not very pleased, but still sharply included tools based on II in the training program for young specialists in this field. Don’t forget to use the diagnostic itself, it’s not necessary.
Colonoscopy does not include a diagnostic method for preventing colon cancer, but it is far from the most convenient. Visual examination of the intestines, which in many ways is not always clean. This is the last word. You should not use or disassemble the reaction speed. Those that are more than 10 mm in diameter are easily identified, given the obvious predecessors of the project and gradually removed.
The size categories of adenomas are 5-10 mm and less than 5 mm, short and long, it is difficult, and it is unclear whether this requires surgical intervention. An experiment worth 500 small endoscopies will be carried out between 2021 and 2022, ultimately involving 766 critically ill patients. On 386 samples, the work was re-tested on a special model. I announced training for this profile of mine.
It turned out that the AI accurately identified irritations in 57.5%, cases against 44.5% were not included. The area size is less than 5 mm, which is 40.4% and the target value is 25.0%. The size ranges from 5-10 mm to 36.8% and 29.2%, respectively. The difference between a specific adena is insignificant, or rather, it does not correspond to the values for the training program. It is impossible to obtain a final conclusion. technologies.
Source: Tech Cult
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