Mirobody
The canonical registry of human health — roughly two thousand standardized indicators, clinical and lifestyle, resolved into one language.
클라루스앤(CLARUS-N) — 신경외과 전문의 어노테이션 기반 뇌혈관 AI. 뇌 MRI·MRA·DWI·CT 분석, 뇌동맥류 탐지, 협착 분석.
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The canonical registry of human health — roughly two thousand standardized indicators, clinical and lifestyle, resolved into one language.
The maker's introduction consists of the line above. Read the repository README for more details. Repository README ↗
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Read the full README ↗This is a Next.js project bootstrapped with create-next-app.
First, run the development server:
npm run dev
# or
yarn dev
# or
pnpm dev
# or
bun dev
Open http://localhost:3000 with your browser to see the result.
You can start editing the page by modifying app/page.tsx. The page auto-updates as you edit the file.
For shared deployed analysis request counting, configure Redis/KV in your environment:
# Preferred (Vercel KV-style)
KV_REST_API_URL=...
KV_REST_API_TOKEN=...
# Also supported (Upstash Redis-style)
UPSTASH_REDIS_REST_URL=...
UPSTASH_REDIS_REST_TOKEN=...
The API uses atomic INCR on analysis:count.
This project uses next/font to automatically optimize and load Geist, a new font family for Vercel.
To learn more about Next.js, take a look at the following resources:
You can check out the Next.js GitHub repository - your feedback and contributions are welcome!
The easiest way to deploy your Next.js app is to use the Vercel Platform from the creators of Next.js.
Check out our Next.js deployment documentation for more details.