Can cognitive medicine solve the problem of digestive tract imaging diagnosis?

According to WHO data, China is a large country with gastric cancer, with 680,000 new cases of gastric cancer and 500,000 deaths each year. The key to improving the rate of early gastric cancer discovery is the large-scale census, but on the one hand, the pain of traditional gastroscopy is a daunting for many people. On the other hand, when performing gastroscopy, doctors should directly screen out the lesions for continuous images returned by the device. Pictures, form a report. But with so many images, it is very difficult for doctors to screen out the images of the lesions, and experienced doctors are lacking.

In China, the strength of physicians in primary medical institutions is weak, the resources of excellent doctors are difficult to sink, and the loss of professional talents is a difficult point and pain point in China's current medical reform. Especially, doctors and digestive endoscopy doctors, most grassroots physicians are reluctant to return to primary health care. Institutional work, even if the government purchased equipment for primary health care institutions, but because there is no doctor resources, many equipment utilization is not high.

In fact, the primary medical institutions are difficult, and the images of the top three hospitals and the digestive endoscopy doctors are not difficult. Some top-three hospital digestive endoscopy doctors are not well-known, well-known digestive endoscopy doctors, every day there are endless examinations, incomplete digestive tract images, in addition to these, doctors also have to conduct teaching, scientific research, doctors as a special The group needs constant progress to better perform clinically. Some of them are drought-stricken and some are sudden death.

But what about time? In addition to doctors reading films, teaching, and learning, doctors are also human and fatigued. People are the sum of social relations, and they must accompany their families and accompany their friends. But this is too extravagant for images and digestive endoscopy doctors who work more than 10 hours a day.

Artificial intelligence is the doctor's "savior"

认知医疗可否破解消化道影像诊断的难题?

The author has done research, specifically to consult the imaging doctors and experts, their work in reading films is actually a repetitive work, after the artificial intelligence comes out, they expect the machine to replace them to do these repetitive tasks, which need to be combined with clinical It is necessary to give the doctor a question based on the specific circumstances of the patient. In the eyes of doctors, artificial intelligence is not only an enemy, but a "savior".

Taking lung nodules as an example, the current artificial intelligence technology can identify within 10 seconds, read 200 CT images of a patient, and determine the location of the nodules. The accuracy rate is already above 90%, which is higher than the doctor's recognition rate. If these jobs are handed over to artificial intelligence, you can save the experts nearly 4 hours a day.

Some people will doubt, isn't that a replacement for a doctor? In fact, artificial intelligence is completely sure to determine the location of the nodule, but to determine whether the nodule is benign or malignant, it is necessary to combine pathological diagnosis, or an experienced radiologist, combined with clinical can also judge benign and malignant. The two are auxiliary relationships, in which case the doctor can have the rest of the time doing what he needs to do, what he wants to do, what he should do.

The advantages of artificial intelligence are self-learning and big data analysis, so since it can learn how to read medical imaging films, doctors need a lot of case support in clinical decision-making, when drug research and development requires a lot of data support, scientific research books support When doctors meet complex difficulties and need new programs... Artificial intelligence can be done.

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