Tencent launches the first medical AI engine - "Tencent Ruizhi", using big data and artificial intelligence to solve resource mismatch problem

[Tencent launches first medical AI engine - "Tencent Ruizhi", using big data and artificial intelligence to solve resource mismatch issues. Recently, Tencent officially announced the launch of the first medical AI engine - Tencent Ruizhi, cut from the pre-clinic link , Launched Smart Guidance, landed at Guangzhou Women and Children Medical Center, and used big data and artificial intelligence to solve resource mismatch problems. Through intelligent human-machine dialogue, patients can accurately obtain the most suitable doctors, and doctors can select patients matching their professional direction. .

It is understood that Tencent Ruizhi is the R&D achievement of the Tencent Medical Big Data Lab. Its greatest advantage lies in its core competencies, namely, the knowledge map created based on big data, combined with the AI ​​algorithm model to realize the prediction of diseases and disease progression. This is a key part of medical AI applications. Tencent Ruizhi's medical knowledge map mainly comes from two aspects, one is the authoritative medical prior knowledge, including nearly 10 million medical textbooks, tens of thousands of papers and popular science articles, as well as various symptoms and signs, inspection and inspection indicators, medication treatment The disease knowledge base; second, real-time updated data, including desensitization patients' health data and medical data. After massive data is processed through artificial intelligence technology, the entities, attributes, and relationships are extracted to construct and improve the medical knowledge map.

On the technical level, apart from big data processing capabilities, Tencent knows to use NLP technology (Natural Language Processing) as the core, and combines AI algorithm models such as OCR (Optical Character Recognition) and deep learning of medical images to build AI core engines. .

At this stage, Tencent knows that disease prediction through AI engines can be roughly divided into three stages:

First of all, the abundant medical knowledge is drawn from the massive literature. This extraction process is equivalent to learning and memorizing medical knowledge.

Secondly, to understand and process the extracted knowledge, including the correspondence between medical terminology and patient language, the correspondence between inference symptoms and diseases, and the logic of question-and-answer dialogue;

Finally, the application of the combination of scenes, such as in the intelligent guidance scene combined with the doctor's professional expertise, past medical experience, depicting a comprehensive, detailed and real-time doctor portraits, through intelligent consultation, matching patients with appropriate medical resources.

Tencent Ruizhi is aiming at the pre-medical needs, taking women and children's diseases as the breakthrough point, and now covers more than 500 common diseases in the maternal and child areas. Guangzhou Women and Children's Medical Center has been trying out the intelligent guidance function for more than 3 months. The accuracy of disease judgment is 94%, and the accuracy rate recommended by doctors is over 96%. In addition, in the field of general practice, Tencent Ruizhi is still expanding, covering the disease has been expanded to 23 disciplines, more than 3,000 kinds of diseases. At the same time, Tencent knows that it can identify newly diagnosed and re-examined patients and recommend the same doctor for referral patients to improve the efficiency and experience of medical treatment.

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