AI combined with smart medical technology can explore unlimited potential

In the past two days, the Third World Internet Conference held in Wuzhen, Zhejiang Province was in full swing. At the same time, the conference released the world's leading Internet technology achievements to the society for the first time.

In recent years, we have deeply felt the revolutionary changes that the Internet has brought to our lives, and such changes are continuing. At this conference, the involvement of artificial intelligence in the medical field is also a major highlight of everyone's attention.

Smart healthcare: the potential of artificial intelligence is unlimited

At the 3rd World Internet Conference's Internet + Smart Healthcare Forum, Baidu founder Li Yanhong talked about Baidu's artificial intelligence application in the healthcare industry. Its intelligent consultation passed the test, and compared with Peking University International Hospital, 80% of the cases of Baidu doctor's diagnosis is consistent with the diagnosis of Peking University International Hospital doctors, the accuracy rate is rapidly increasing. And it is also possible to find some rare cases that can help doctors make corresponding judgments.

AI combined with smart medical technology can explore unlimited potential

When it comes to the combination of artificial intelligence and medical care, it is impossible to mention IBM Watson. "Watson" has made great progress in assisting medical treatment.

"Watson" assisted medical treatment process

Step 1: The oncologist sends the patient's biopsy tissue specimen to the diagnostic center, performs gene sequencing of the specimen, and identifies which genes show mutations or mutations.

Step 2: The clinical laboratory personnel input all relevant information (gene sequencing information and clinical information, etc.) of the patient into "Watson".

The third step: "Watson" uses artificial intelligence such as cognitive learning to compare clinical information database, medical science literature and clinical experience and consensus of oncology experts. Finally, Watson measures the optimal treatment options for the patient's tumor.

After Watson gives the preliminary diagnosis and treatment recommendations, the diagnosis center will send the diagnosis report and recommendation signed by the clinician and Watson to the patient's attending doctor or oncologist after verifying the correctness. There.

Watson can quickly expand scientific knowledge and supplement related information through deep learning. A doctor can only watch tens of thousands of films in his life, but the computer can see hundreds of thousands and millions of films through image recognition technology. Data. The future convergence of artificial intelligence and medical care will greatly enhance the technology and efficiency of the entire medical industry .

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