Tencent Health launches multiple AI products: large models, intelligent question and answer, and digital medical imaging

According to a report on Tencent Health’s official public account on September 12, Tencent Health announced the launch of a number of AI products, including large medical models, a series of product matrices and drug discovery for “intelligent question and answer, family doctor assistants, digital medical imaging platforms and other multiple scenarios” Platform "Yunshen" (iDrug), etc. Tencent's health care model is based on Tencent's Hunyuan model, which integrates more than 2.85 million medical entities and 12.5 million medical relationships, a knowledge graph of 98% of medical knowledge and a large amount of medical literature. Through 30 million scenes and medical process question and answer dialogues and 360,000 Reinforcement learning of data annotated by expert doctors can achieve comprehensive improvements in the level and quality of medical services throughout the entire medical process.

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It is reported that Tencent Health's large medical model is suitable for scenarios such as copywriting generation, intelligent question and answer, medical record structuring and retrieval, imaging reports and auxiliary diagnosis. It can be embedded in all aspects of the medical process, including department guidance, doctor recommendation, pre-consultation, etc. It plays an important role in application scenarios such as doctor-patient dialogue, automatic generation of medical records, and intelligent hospital customer service.

According to Tencent, Shanghai Renji Hospital has taken the lead in using Tencent's medical model to create a highly anthropomorphic virtual digital image "Nurse Serena" focusing on aging services in Internet hospitals. In addition, Tencent Medical Big Model has made innovative efforts in drug discovery. Its "iDrug" platform has the ability to accelerate the discovery of both small molecule drugs and large molecule drugs, helping Tencent Medical achieve a breakthrough in the field of medical technology. Big leap.

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In the field of drugs, Tencent Health's iDrug platform can predict protein structure. It has developed a new algorithm framework tFold. In terms of drug ADMET attribute prediction, it has also launched more than 70 ADMET attribute predictions. According to Tencent, the iDrug platform has also developed two skeleton transition molecule generation algorithms, which can help discover nM-level lead compounds. It has also introduced reinforcement learning technology in the generation of small drug molecules, and can achieve 97% of generated molecules that meet the requirements. This series of development achievements will inject new theoretical and practical foundations into the future wave of medical technology.

In addition, Tencent Health Miying has comprehensively upgraded its digital medical imaging platform and equipped it with artificial intelligence analysis capabilities to provide comprehensive support in the medical imaging field for medical institutions, scientific research institutions, and scientific and technological innovation enterprises. The Miying platform will also further open up more Tencent self-developed AI engines to help scientific research institutions independently develop and train AI models. Such platform advantages are expected to bring profound changes to medical research and practice.

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In addition, Tencent Health Mini Program has connected with more than 3,000 registered public hospitals, more than 5,000 physical examination institutions, and vaccine services in more than 200 cities. In addition, medical insurance electronic vouchers cover more than 800,000 designated institutions and more than 20,000 hospitals, and the WeChat channel has more than 600 million electronic health card users, connecting more than 5,000 hospitals. These achievements can provide new possibilities for cross-border cooperation between users and medical services.

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To sum up, Tencent Health comprehensively strengthens the cooperation between users and medical services, promotes the opening up of its own capabilities, technologies and products, and hopes to jointly build standardized and consistent digital medical standards with the industry and make active efforts to comprehensively improve the level of medical services in my country. And carries the confidence and expectation of sustainable development.

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Origin blog.csdn.net/weixin_44469648/article/details/132827278