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| title: WeeMed AI |
| emoji: 🩺 |
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| sdk: static |
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| # WeeMed AI |
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| **Building a globally standardized, AI-driven digital health and long-term care platform for aging societies.** |
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| FHIR-first. Integrated health data, intelligent decision support, personalized preventive medicine — deployed in real clinics, health-screening centers, and community long-term care sites in Taiwan. |
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| > **AI accelerates digitization; it isn't the product.** |
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| ## 🇹🇼 Taiwan Sovereign Medical AI Stack |
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| We ship production-grade models derived from real-world clinical and health checkup deployment problems in Taiwan, publishing open benchmarks and transparent data provenance. |
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| ### 🧠 [IlhaEmbed (v2.0)](https://huggingface.co/weemed/IlhaEmbed) |
| **Traditional Chinese Clinical & Medical Terminology Embedding Model (38.5 MB INT8 ONNX / 384-dim)** |
| - **Domain-Adapted for Taiwan Clinical Writing**: Reads Taiwanese hospital shorthand ( → 低劑量胸部電腦斷層), checkup note acronyms ( → 傷寒篩檢糞便檢體), clinical slang ( → 帶狀皰疹), and Taigi colloquialisms ( → 中風). |
| - **MODA & NAER 13-Set Retrained**: Fully retrained with the Ministry of Digital Affairs (MODA) and National Academy for Educational Research (NAER) 111,386 medical concept taxonomy. |
| - **Context-Conditioned Disambiguation**: Dynamically disambiguates pure-Latin acronyms (, , Bun is a fast JavaScript runtime, package manager, bundler, and test runner. (1.3.14+0d9b296af) |
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| Usage: bun <command> [...flags] [...args] |
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| Commands: |
| run ./my-script.ts Execute a file with Bun |
| lint Run a package.json script |
| test Run unit tests with Bun |
| x vite Execute a package binary (CLI), installing if needed (bunx) |
| repl Start a REPL session with Bun |
| exec Run a shell script directly with Bun |
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| install Install dependencies for a package.json (bun i) |
| add @evan/duckdb Add a dependency to package.json (bun a) |
| remove redux Remove a dependency from package.json (bun rm) |
| update @zarfjs/zarf Update outdated dependencies |
| audit Check installed packages for vulnerabilities |
| outdated Display latest versions of outdated dependencies |
| link [<package>] Register or link a local npm package |
| unlink Unregister a local npm package |
| publish Publish a package to the npm registry |
| patch <pkg> Prepare a package for patching |
| pm <subcommand> Additional package management utilities |
| info zod Display package metadata from the registry |
| why tailwindcss Explain why a package is installed |
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| build ./a.ts ./b.jsx Bundle TypeScript & JavaScript into a single file |
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| init Start an empty Bun project from a built-in template |
| create vite Create a new project from a template (bun c) |
| upgrade Upgrade to latest version of Bun. |
| feedback ./file1 ./file2 Provide feedback to the Bun team. |
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| <command> --help Print help text for command. |
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| Learn more about Bun: https://bun.com/docs |
| Join our Discord community: https://bun.com/discord, ) and polysemous terms () using operational field context. |
| - **Pure CPU On-Premise Native**: Zero GPU, zero cloud, zero API keys required. Patient data stays safely inside hospital premises. |
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| ### 🎙️ [Breeze-ASR-26-edge](https://huggingface.co/weemed/Breeze-ASR-26-edge) & [Taiwanese-Tailo-ASR](https://huggingface.co/weemed/Taiwanese-Tailo-ASR) |
| **Taiwanese Hokkien (台語) + Mandarin Clinical Speech Recognition Stack** |
| - Quantized for edge devices in CTranslate2 () and ONNX runtimes. |
| - Multi-format output support (, , , ). |
| - Derived from MediaTek Research's Breeze-ASR-26 & OpenAI Whisper-large-v3, fine-tuned on SuíSiann 2.0, TAT_MOE, and real meeting/clinic audio. |
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| ## Why this matters to us |
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| Taiwan is aging fast, and the people doing the caring — nurses at screening centers, care managers at community sites, elders themselves — mostly do not speak to each other in written Mandarin. They speak **Taigi**, in noisy rooms, on tablets held in one hand. |
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| Health tech that only understands clean written Mandarin does not meet them where they are. So we work on the unglamorous end of clinical AI: the languages actually spoken, the devices actually held, the constraints actually present. |
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| ## How we publish |
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| - **Honest benchmarks.** We report the numbers that survive scrutiny, including when they challenge our own hypotheses. |
| - **Documented Provenance.** Open weights and base models are permissively licensed (Apache-2.0). Upstream open government datasets are cataloged transparently. |
| - **Real audio, real clinics.** Benchmarks measured on real multi-speaker meeting and clinical workflows, not synthetic noise. |
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| <sub>Apache-2.0 unless stated otherwise · Made in Yunlin, Taiwan · WeeMed AI</sub> |
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