(a) A global AI application that brings together high-quality multilingual and geographically multilingual language data,
Key training language for the Cross-language Medical AI Model
I'm at the front of the cross-language AI application, looking at the latest thesis and scientific developments.
Multilingual medicine NLP is a core bottleneck for global AI landings, and quality cross-language data are extremely scarce. International standards such as WHO/IH drive the process of data standardization.
International standards such as WHO/IH have accelerated the process of standardization of medical data, and multilingual terminology mapping has become an infrastructure that underpins the global medical AI collaboration.
Non-English medical supplies are more than 100 times scarce in English, and small language medical AI faces severe data scarcity that constrains the development of health-care AI globally.
The mega-mode of multilingualism has made breakthroughs in cross-linguistic understanding, translation, knowledge migration, etc., supporting the fall of global AI applications.
The cross-linguistic knowledge mapping has become a research hotspot, with multilingual mapping and linkages to entities such as medical terminology, diseases, drugs, etc.
AI-driven global public health monitoring and early warning systems have emerged, and multilingual data underpin global collaborations such as outbreak tracking and vaccine development.
Changsalang Information Technology Ltd., in the field of deep-growing international medical literature, has built high-quality data sets covering 5 million + medical supplies in 10 languages. Through international cooperation, international clinical guidelines, transnational drug manuals, multilingual medical literature and global public health reports are integrated.
Integration of global medical data in 10 languages, covering the main languages of English, Chinese, Spanish, French, etc.
International standard terminology such as ICD-11/SNOMED-CT to ensure data standardization and interoperability
Medical professional translation team vetting to ensure accuracy and professionalism of translation
Build a multilingual medical knowledge map to underpin cross-language information retrieval and intellectual reasoning
5 million + medical supplies in 10 languages
5 million + multilingual medical materials, 10 languages, 8 major types, ICD-11/SNOMED-CT terminological label, quality of S/A translation, support for medical NMT and cross-linguistic knowledge mapping.
Typical AI application scenario based on international language data sets
Training medical NMT models based on multilingual medical materials to achieve accurate translation of medical texts.
Multilingual mapping of medical knowledge and linkages to medical terminology is being developed.
(c) To achieve cross-lingual medical literature retrieval and discovery, and to break language barriers.
Training in large models of multi-lingual medicine, supporting cross-language medical questions and answers and reasoning.
Real-time monitoring and early warning of global public health events based on multilingual data.
Multilingual processing of information supporting translation and regulation of transnational drug manuals.
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