On August 11, 2016, IBM Watson for Oncology landed in China, a cancer diagnostic robot. IBM Watson can read 3469 medical monographs, 248,000 papers, 69 treatment plans, 61540 experimental data, 106,000 clinical reports in 17 seconds, and finally propose optimal personalized treatment based on patient input information input by doctors. Program.
With the development and consolidation of technology, new biomedical frontiers are constantly blending. A new class of emerging disciplines that spans artificial intelligence, big data and medical fields, collects and summarizes all health data, and calculates and integrates them to give doctors more accurate diagnosis results and more complete treatment options.
This subject is called medical big data .
Before we unfold the inventory, let's discuss two "why".
In the medical big data industry, the hot spot in recent years is undoubtedly the image data analysis company. why?
First, image data acquisition is easier. Compared to the time span of medical records for three to five years, imaging data is only "one second." For data companies, getting millions of films is not that difficult, but it is not easy to have hundreds of thousands of complete structured patient records.
Second, image data processing is less difficult. The information to be included in a medical record is at least a history, patient information, symptoms, treatment, recovery, etc., and the imaging data is a film.
Third, image data is important. Image detection information is the most intuitive data that reflects the patient's condition information, and is the most direct basis for doctors to determine treatment options.
Medical images contain vast amounts of data, and even experienced doctors sometimes seem at a loss
In China, the demand for medical image intelligence diagnosis is particularly urgent. why?
First, the medical resources of the imaging department are in short supply in China.
Compared with developed countries, there is a serious shortage of medical resources in China's imaging department. On the one hand, the reading of medical images requires a long period of professional experience, which means that the training period of the imaging doctor is relatively long; on the other hand, the imaging department is not in the hospital, the income is not high, and the doctor who is willing to engage in imaging studies The less you come.
Intelligent image detection software can improve this situation in terms of efficiency and accuracy. Intelligent software can process movies quickly, even faster than doctors, and can reduce the false positive rate of human operations. The intelligent diagnosis clinical trial conducted by Harvard Medical School in the United States shows that artificial intelligence assisted doctors to diagnose breast cancer can reduce the misdiagnosis rate from 4% to 0.5%.
Second, the rise of third-party testing agencies in recent years.
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