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    Home»Global News

    Fangzhou ’XingShi’ Massive Language Mannequin Highlighted Amongst China’s Most Anticipated Healthcare Fashions for 2026 – Worldwide Dispatch

    Admin - Shubham SagarBy Admin - Shubham SagarFebruary 10, 2026Updated:February 10, 2026 Global News No Comments3 Mins Read
    Fangzhou ’XingShi’ Massive Language Mannequin Highlighted Amongst China’s Most Anticipated Healthcare Fashions for 2026 – Worldwide Dispatch
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    SHANGHAI, Feb. 10, 2026 (GLOBE NEWSWIRE) — Trade analysis platform VBData lately highlighted “XingShi” Massive Language Mannequin (“XS LLM”) from Fangzhou Inc. (“Fangzhou” or the “Firm”) (HKEX: 06086), a pacesetter in AI-driven Web healthcare options, as one among China’s most anticipated healthcare AI fashions for 2026.

    The “XingShi” Massive Language Mannequin (“XS LLM”) integrates 5 clever brokers — information companies, triage, pre-consultation, doctor help and digital medical data — right into a closed-loop system masking the total power illness administration cycle, an strategy that has drawn worldwide consideration together with protection by Nature.

    As one of many earliest home fashions developed alongside the emergence of OpenEvidence, XS LLM is powered by greater than 1.1 million articles from over 170 core journals from the database of the Chinese language Medical Affiliation, spanning all main scientific disciplines. VBData estimates the mannequin has delivered almost 400,000 situations of technical help to physicians, marking it as a major device for scientific help {and professional} workflows.

    Constructed because the “core digital mind” of Fangzhou’s platform, XS LLM powers 5 AI-enabled functions: AI Medicine Finder, AI Well being Supervisor, AI Physician Assistant, AI Tutorial Assistant, and AI-Powered Search. Every product addresses distinct scientific and patient-side use circumstances, enabling real-time, precision interventions throughout remedy steerage, affected person training, diagnostic help, and medical reference.

    XS LLM was beforehand featured by Nature Information part beneath the headline “A Chinese language AI device can handle power illness — might it revolutionize well being care?”, and the article explored the mannequin’s improvement, alongside skilled views on its potential impression for bettering power illness administration.

    Different fashions cited by VBData embrace choices from JD Well being, Ant Group and Tencent Well being. VBData famous that main home medical AI fashions are more and more optimized for China-specific scientific pointers, reimbursement frameworks and regulatory necessities in an effort to meet to satisfy bold nationwide targets for broad improvement of medical AI fashions by 2027 and near-universal clever scientific help in major care by 2030.

    Wanting forward, Fangzhou will proceed to deepen AI integration throughout power illness companies, and broaden entry to skilled, technology-enabled care whereas reinforcing its place as a key participant within the nation’s healthcare digitization drive.

    About VBData
    Based in 2014, VBData is an trade data accelerator platform that builds a enterprise case library by way of in-depth evaluation, deconstructs sectors with systematic analysis, and fosters trade collaboration by way of devoted companies.

    About Fangzhou Inc.
    Fangzhou Inc. (HKEX: 06086) is China’s main on-line power illness administration platform, serving 52.8 million registered customers and 229,000 physicians (as of June 30, 2025). The Firm focuses on delivering tailor-made medical care and AI-enabled precision medication options. For extra data, go to https://buyers.jianke.com.

    Media Contact
    For additional inquiries or interviews, please attain out to:
    Xingwei Zhao Affiliate Director of Public Relations Electronic mail: pr@jianke.com


    Disclaimer: This press launch comprises forward-looking statements. Precise outcomes might differ materially from these anticipated on account of varied elements. Readers are cautioned to not place undue reliance on these statements.

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