Tencent officially announced the launch of the first medical AI engine - Tencent Ruizhi, from the pre-diagnosis link, launched intelligent consultation, landing Guangzhou Women and Children Medical Center, using big data and artificial intelligence to solve resource mismatch problems, through intelligent man-machine Dialogue, patients can get the most appropriate doctors accurately, doctors can screen patients who match their professional direction.
It is understood that Tencent Ruizhi is the research and development result of Tencent Medical Big Data Lab. Its biggest advantage lies in its core competence, that is, the knowledge map based on big data, combined with the AI ​​algorithm model to realize the prediction of disease and disease course. This is a key part of medical AI applications. Tencent Ruizhi's medical knowledge map mainly comes from two aspects. First, authoritative medical prior knowledge, including nearly 10,000 medical textbooks, tens of millions of papers and popular science articles, as well as various symptoms and signs, test and examination indicators, medication treatment. The disease knowledge base; the second is real-time updated data, including health data and medical data for desensitized patients. After the massive data is processed by artificial intelligence technology, the entities, attributes and relationships are extracted, and the medical knowledge map is constructed and improved.
On the technical level, in addition to the big data processing capabilities, Tencent has learned to use NLP technology (Natural Language Processing) as the core, combined with the AI ​​algorithm model such as OCT capability (OpTIcal Character RecogniTIon) and deep learning. Build the AI ​​core engine.
At this stage, Tencent Rui knows that the disease prediction through the AI ​​engine can be roughly divided into three stages:
First, extract a wealth of medical knowledge from a vast literature, this extraction process is equivalent to learning and memory medical knowledge;
Secondly, understanding and processing the extracted knowledge, including the correspondence between medical terminology and patient language, the correspondence between reasoning symptoms and diseases, and the logic of question-and-answer dialogue;
Finally, combined with the scene to apply, such as in the intelligent clinicing scene combined with the doctor's professional expertise, past medical experience, portray a comprehensive, detailed, real-time portrait of the doctor, through intelligent consultation, to match the appropriate medical resources for patients.
Tencent Ruizhi has targeted the pre-diagnosis needs and has made a breakthrough in the field of maternal and child diseases. It has covered more than 500 common diseases in the field of women and children. The Guangzhou Women and Children Medical Center has been trial-running for more than three months, with a disease-accuracy accuracy rate of 94% and a doctor-accepted accuracy rate of over 96%. In addition, in the field of general practice, Tencent Ruizhi is still expanding, covering the disease range has expanded to 23 disciplines, more than 3,000 diseases. At the same time, Tencent Ruizhi can identify the newly diagnosed and returning patients, recommend the same doctor for the referral patients, and improve the efficiency and experience of medical treatment.
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