Features | 功能特性 • Quick Start | 快速开始 • Architecture | 架构 • Documentation | 文档 • License | 许可证

作者 Author: 苏业钦 (Su Yeqin)

• 简体中文 | English

MediCareAI 是一个基于人工智能的智能疾病管理系统，专为患者随访和疾病追踪设计。系统整合了医疗指南、AI 智能诊断和文档处理功能，为医疗机构提供全面的健康支持。

• 🔐 用户认证与管理 - JWT 安全认证，用户注册登录，会话管理，支持患者、医生、管理员三端
• 👤 患者档案管理 - 完整的患者信息，病历号管理，紧急联系人，阿里云 OSS 安全存储患者病例资料
• 🤖 AI 智能诊断 - 支持 OpenAI 兼容 API 的 AI 大模型，实时症状分析，结合患者历史病历和上传文档
• 📄 文档智能处理 - MinerU 文档抽取，支持 PDF/图片/文档，自动 PII 脱敏保护隐私
• 📊 医疗记录管理 - 病例管理，文档附件存储于阿里云 OSS，随访计划
• 🏥 知识库系统 - 基于向量检索的智能知识库(RAG)，管理员可动态创建医疗指南，AI 诊断自动引用循证医学建议
• 👨‍⚕️ 医生协作平台 - @医生提及系统，医患双向沟通，医生可在共享病例上添加专业评论
• 🏛️ 管理员系统 - 系统监控(CPU/内存/磁盘)，医生认证审核，审计日志，知识库向量化管理

MediCareAI is an intelligent disease management system powered by AI, designed for patient follow-up and disease tracking. It combines medical guidelines, AI-powered diagnosis, and document processing to provide comprehensive healthcare support.

• 🔐 User Authentication - JWT secure auth, registration/login, session management, supports Patient/Doctor/Admin platforms
• 👤 Patient Management - Complete patient profiles, medical record numbers, emergency contacts, Alibaba Cloud OSS secure storage for patient case data
• 🤖 AI Diagnosis - Support for OpenAI-compatible API AI models, real-time symptom analysis, combines patient history and uploaded documents
• 📄 Document Processing - MinerU extraction, PDF/image/document support with automatic PII cleaning for privacy protection
• 📊 Medical Records - Case management, document attachments stored in Alibaba Cloud OSS, follow-up plans
• 🏥 Knowledge Base - Vector-based intelligent knowledge base (RAG), admins can dynamically create medical guidelines, AI diagnosis automatically references evidence-based recommendations
• 👨‍⚕️ Doctor Collaboration Platform - @doctor mention system, bidirectional patient-doctor communication, doctors can add professional comments on shared cases
• 🏛️ Admin System - System monitoring (CPU/Memory/Disk), doctor verification workflow, audit logging, knowledge base vectorization management
• 🔒 Privacy Protection - Automatic PII detection and cleaning for document sharing

English: Secure JWT-based authentication supporting three platforms: Patient, Doctor, and Admin. Each platform has dedicated UI and permissions. Refresh tokens, session management, and complete audit logging for compliance.

中文: 基于 JWT 的安全认证系统，支持患者端、医生端、管理员端三个平台。每个平台拥有独立的界面和权限。支持刷新令牌、会话管理和完整的合规审计日志。

English: Complete patient workflow from symptom submission to diagnosis history:

• Symptom Submission: AI diagnosis with optional @doctor mention, document upload (PDF/images)
• AI Diagnosis Workflow: Smart RAG retrieves relevant medical guidelines, combines patient history + uploaded documents + knowledge base for comprehensive AI analysis
• Medical Records: View diagnosis history with AI feedback, doctor comments, and patient replies
• Document Storage: All medical documents securely stored in Alibaba Cloud OSS with PII cleaning

中文: 完整的患者工作流程，从症状提交到诊疗记录：

• 症状提交: AI 智能诊断，支持 @医生提及，文档上传（PDF/图片）
• AI 诊断工作流: 智能 RAG 检索相关医疗指南，结合患者历史 + 上传文档 + 知识库进行综合 AI 分析
• 诊疗记录: 查看诊断历史、AI 反馈、医生评论和患者回复
• 文档存储: 所有医疗文档使用阿里云 OSS 安全存储，自动 PII 脱敏

English: Advanced AI diagnosis system with Retrieval-Augmented Generation:

• Smart Knowledge Retrieval: Vector-based RAG automatically selects relevant medical guidelines from knowledge base
• Multi-Source Context: Combines patient personal info + uploaded documents (MinerU extracted) + knowledge base guidelines
• Streaming Response: Real-time diagnosis output with progress indicators
• Evidence-Based: Each recommendation references specific medical guidelines from knowledge base
• Language Adaptation: Automatically responds in Chinese or English based on UI language

中文: 基于检索增强生成(RAG)的高级 AI 诊断系统：

• 智能知识检索: 基于向量的 RAG 自动从知识库选择相关医疗指南
• 多源上下文: 结合患者个人信息 + 上传文档（MinerU 提取）+ 知识库指南
• 流式响应: 实时诊断输出，带进度指示器
• 循证医学: 每个建议都引用知识库中的具体医疗指南
• 语言自适应: 根据界面语言自动使用中文或英文回复

English: Professional tools for verified doctors:

• Doctor Verification: Registration with medical license, admin approval workflow
• @My Cases: View cases where patient mentioned the doctor, time-based filtering (Today/3 days/1 week)
• Case Comments: Add professional comments on shared cases (suggestion, diagnosis, treatment advice)
• Patient Replies: View patient replies to your comments only (privacy protected, cannot see other doctors' threads)
• Professional Profile: Display hospital, department, specialty, title with anonymized name

中文: 为已认证医生提供的专业工具：

• 医生认证: 使用医疗执业证注册，管理员审批工作流
• @我的病例: 查看患者提及医生的病例，时间筛选（今日/三天内/一周内）
• 病例评论: 在共享病例上添加专业评论（建议、诊断意见、治疗建议）
• 患者回复: 仅查看对自己评论的患者回复（隐私保护，无法查看其他医生的线程）
• 专业档案: 显示医院、科室、专业、职称，名称匿名化显示

English: Comprehensive administrative control panel:

• System Monitoring: Real-time CPU, Memory, Disk usage with psutil (color-coded alerts)
• AI Diagnosis Analytics: Statistics, anomaly detection, performance metrics
• Doctor Verification: Review doctor registrations, approve/reject with audit logging
• Knowledge Base Management: Vectorize documents, manage medical guidelines, RAG configuration
• Audit Logging: Complete operation logs for compliance and security
• Data Persistence: Docker volumes with restart: always policy

中文: 全面的管理控制面板：

• 系统监控: 实时 CPU、内存、磁盘使用率，使用 psutil（彩色预警）
• AI 诊断分析: 统计、异常检测、性能指标
• 医生认证: 审核医生注册、批准/拒绝，带审计日志
• 知识库管理: 文档向量化、管理医疗指南、RAG 配置
• 审计日志: 完整的操作日志用于合规和安全
• 数据持久化: Docker 卷配置 restart: always 策略

English: Intelligent document pipeline:

• MinerU Integration: Extract text from PDFs, images, Word, PPT with OCR
• Alibaba Cloud OSS: Secure cloud storage for all medical documents
• PII Cleaning: Automatic detection and masking of personal information before AI processing
• Vectorization: Documents converted to embeddings for RAG knowledge retrieval
• Reusable Content: Extracted documents can be reused in multiple AI diagnoses

中文: 智能文档处理流程：

• MinerU 集成: 从 PDF、图片、Word、PPT 提取文本，支持 OCR
• 阿里云 OSS: 所有医疗文档的安全云存储
• PII 清洗: AI 处理前自动检测和屏蔽个人信息
• 向量化: 文档转换为嵌入向量用于 RAG 知识检索
• 内容复用: 提取的文档可在多个 AI 诊断中重复使用

English: Self-improving medical knowledge system:

• Vector Embeddings: Qwen API for document vectorization
• Smart RAG Selector: Automatically selects relevant guidelines for each diagnosis
• Admin Management: Upload, organize, and manage medical guidelines via admin panel
• Chunking Strategy: Intelligent text splitting for optimal retrieval
• Version Control: Track knowledge base updates and changes

中文: 自我完善的医学知识系统：

• 向量嵌入: 使用 Qwen API 进行文档向量化
• 智能 RAG 选择器: 为每次诊断自动选择相关指南
• 管理员管理: 通过管理面板上传、组织、管理医疗指南
• 分块策略: 智能文本分割以获得最佳检索效果
• 版本控制: 跟踪知识库更新和变更

English: Enterprise-grade security measures:

• PII Protection: Automatic detection of names, IDs, phone numbers, addresses in documents
• Role-Based Access: Strict separation between patient, doctor, and admin data
• Privacy Controls: Doctors only see their own threads; patients see all doctor comments
• Audit Trail: Every action logged for compliance
• Secure Storage: Sensitive data in Alibaba Cloud OSS with access controls

中文: 企业级安全措施：

• PII 保护: 自动检测文档中的姓名、身份证号、电话、地址
• 基于角色的访问: 患者、医生、管理员数据严格分离
• 隐私控制: 医生仅查看自己的线程；患者查看所有医生评论
• 审计追踪: 每个操作都记录用于合规
• 安全存储: 敏感数据存储在阿里云 OSS 中，带访问控制

English:

• Docker 20.10+ & Docker Compose 2.0+
• 8GB+ RAM, 20GB+ free disk space
• Linux/macOS/Windows with WSL2

中文:

• Docker 20.10+ 和 Docker Compose 2.0+
• 8GB 以上内存，20GB 以上可用磁盘空间
• Linux/macOS/Windows (需 WSL2)

MediCareAI uses Docker for deployment, supporting any platform with Docker installed (Linux, macOS, Windows with WSL2).

Prerequisites | 环境要求:

• Docker 20.10+ & Docker Compose 2.0+
• 8GB+ RAM, 20GB+ free disk space

# 1. Clone repository / 克隆仓库
git clone https://github.com/yourusername/MediCareAI.git
cd MediCareAI

# 2. Configure environment / 配置环境变量
cp .env.example .env
# Edit .env with your configuration / 编辑 .env 文件

# 3. Generate SSL certificates (for local testing) / 生成 SSL 证书（本地测试）
mkdir -p docker/nginx/ssl
openssl req -x509 -nodes -days 365 -newkey rsa:2048 \
  -keyout docker/nginx/ssl/key.pem \
  -out docker/nginx/ssl/cert.pem \
  -subj "/C=CN/ST=State/L=City/O=MediCareAI/CN=localhost"

# 4. Start application / 启动应用
# 数据库会自动初始化，管理员账号会自动创建
docker-compose up -d

git pull
docker compose pull
docker compose up -d

# 1. Clone repository / 克隆仓库
git clone https://github.com/yourusername/MediCareAI.git
cd MediCareAI

# 2. Configure environment / 配置环境变量
cp .env.example .env
# Edit .env with your configuration / 编辑 .env 文件

# 3. Generate SSL certificates (for local testing) / 生成 SSL 证书（本地测试）
mkdir -p docker/nginx/ssl
openssl req -x509 -nodes -days 365 -newkey rsa:2048 \
  -keyout docker/nginx/ssl/key.pem \
  -out docker/nginx/ssl/cert.pem \
  -subj "/C=CN/ST=State/L=City/O=MediCareAI/CN=localhost"

# 4. Start application / 启动应用
# 数据库会自动初始化，管理员账号会自动创建
docker-compose up -d

• Frontend | 前端: http://localhost
• API Docs | API 文档: http://localhost/api/docs
• Health Check | 健康检查: http://localhost/health

系统启动后会自动创建默认管理员账号：

• 邮箱 | Email: [email protected]
• 密码 | Password: admin123456
• 角色 | Role: admin (super)

管理员平台访问地址：

• http://localhost:8080 (管理员平台 | Admin Platform)

⚠️ 安全提示 | Security Notice: 请在首次登录后立即修改密码！

┌─────────────────────────────────────────────────────────────────┐
│                    Nginx Reverse Proxy                          │
│                 (Port 80/443 - SSL/TLS)                         │
└───────────────────────────┬─────────────────────────────────────┘
                            │
            ┌───────────────┼───────────────┐
            │               │               │
┌───────────▼──────┐ ┌──────▼──────┐ ┌──────▼────────┐
│     Frontend     │ │   Backend   │ │  API Docs     │
│  HTML/CSS/JS     │ │   FastAPI   │ │  (Swagger)    │
│  (Port 3000)     │ │  (Port 8000)│ │               │
└──────────────────┘ └──────┬──────┘ └───────────────┘
                            │
        ┌───────────────────┼───────────────────┐
        │                   │                   │
┌───────▼──────┐ ┌──────────▼──────────┐ ┌─────▼──────────┐
│  PostgreSQL  │ │       Redis         │ │  MinerU API    │
│   Database   │ │       Cache         │ │ (Document AI)  │
│ (Port 5432)  │ │    (Port 6379)      │ │                │
└──────────────┘ └─────────────────────┘ └────────────────┘
                            │
                             ▼
                    ┌──────────────────┐
                    │   AI LLM API     │
                    │ (OpenAI-compatible│
                    │    API Support)  │
                    └──────────────────┘

English:

• Frontend: Vanilla HTML/CSS/JavaScript served by Nginx, three platforms (Patient/Doctor/Admin)
• Backend: FastAPI (Python 3.11) with async SQLAlchemy ORM
• Database: PostgreSQL 17 for data persistence
• Cache: Redis 7.4 for session and data caching
• AI Engine: OpenAI-compatible API support with RAG (Retrieval-Augmented Generation)
• Document AI: MinerU API for intelligent text extraction
• Cloud Storage: Alibaba Cloud OSS for secure patient document storage
• Vector Database: Qwen API for knowledge base embeddings and semantic search

中文:

• 前端: 原生 HTML/CSS/JavaScript，Nginx 提供静态文件服务，三端平台（患者/医生/管理员）
• 后端: FastAPI (Python 3.11)，使用异步 SQLAlchemy ORM
• 数据库: PostgreSQL 17 用于数据持久化
• 缓存: Redis 7.4 用于会话和数据缓存
• AI 引擎: 支持 OpenAI 兼容 API，带 RAG（检索增强生成）
• 文档 AI: MinerU API 用于智能文本提取
• 云存储: 阿里云 OSS 用于患者文档安全存储
• 向量数据库: Qwen API 用于知识库嵌入和语义搜索

MediCareAI/
├── 📁 backend/                    # Backend - 后端
│   ├── 📁 app/
│   │   ├── 📁 api/               # API Routes - API 路由
│   │   │   └── 📁 api_v1/
│   │   │       ├── 📁 endpoints/ # API Endpoints - API 端点
│   │   │       │   ├── auth.py           # Authentication - 认证
│   │   │       │   ├── patients.py       # Patient CRUD - 患者管理
│   │   │       │   ├── ai.py             # AI Diagnosis - AI 诊断
│   │   │       │   ├── medical_cases.py  # Medical Records - 医疗记录
│   │   │       │   ├── documents.py      # File Upload - 文件上传
│   │   │       │   ├── admin.py          # Admin System - 管理员系统
│   │   │       │   ├── sharing.py        # Data Sharing - 数据分享
│   │   │       │   ├── doctor.py         # Doctor Platform - 医生平台
│   │   │       │   └── vector_embedding.py  # Vector Operations - 向量操作
│   │   │       └── api.py
│   │   ├── 📁 core/              # Core Config - 核心配置
│   │   ├── 📁 models/            # Database Models - 数据库模型 (22 tables)
│   │   ├── 📁 schemas/           # Pydantic Schemas - 数据验证模式
│   │   ├── 📁 services/          # Business Logic - 业务逻辑层
│   │   │   ├── ai_service.py           # AI Diagnosis - AI 诊断
│   │   │   ├── ai_model_config_service.py  # AI Model Management - AI 模型管理
│   │   │   ├── kb_vectorization_service.py  # KB Vectorization - 知识库向量化
│   │   │   ├── unified_kb_service.py   # Unified KB - 统一知识库
│   │   │   ├── generic_rag_selector.py # Smart RAG - 智能检索
│   │   │   ├── pii_cleaner_service.py  # PII Cleaning - PII 清洗
│   │   │   └── oss_service.py          # Alibaba Cloud OSS - 阿里云 OSS
│   │   ├── 📁 db/                # Database - 数据库
│   │   ├── 📁 utils/             # Utilities - 工具函数
│   │   └── main.py               # Application Entry - 应用入口
│   ├── 📁 data/
│   │   └── 📁 knowledge_bases/   # Knowledge Base - 知识库
│   │       ├── 📁 unified/       # Unified KB - 统一知识库
│   │       └── 📁 active/        # Active Configs - 激活配置
│   ├── 📁 tests/                 # Tests - 测试
│   ├── 📁 uploads/               # Uploads - 上传文件
│   ├── Dockerfile                # Backend Container - 后端容器
│   └── entrypoint.sh             # Entry Script - 启动脚本
├── 📁 frontend/                  # Frontend - 前端 (Three Platforms)
│   ├── index.html                # Patient Homepage - 患者首页
│   ├── login.html                # Patient Login - 患者登录
│   ├── register.html             # Patient Register - 患者注册
│   ├── symptom-submit.html       # AI Diagnosis - AI 诊断
│   ├── medical-records.html      # Medical History - 诊疗记录
│   ├── user-profile.html         # User Profile - 个人中心
│   ├── doctor-dashboard.html     # Doctor Dashboard - 医生仪表板
│   ├── doctor-mentions.html      # @My Cases - @我的病例
│   ├── doctor-case-detail.html   # Case Detail - 病例详情
│   ├── doctor-login.html         # Doctor Login - 医生登录
│   ├── doctor-register.html      # Doctor Register - 医生注册
│   ├── doctor-profile.html       # Doctor Profile - 医生档案
│   ├── admin-dashboard.html      # Admin Dashboard - 管理仪表板
│   ├── admin-doctors.html        # Doctor Verification - 医生认证
│   ├── admin-knowledge-base.html # Knowledge Base - 知识库管理
│   ├── admin-ai-models.html      # AI Models - AI 模型配置
│   ├── admin-logs.html           # Audit Logs - 审计日志
│   ├── admin-login.html          # Admin Login - 管理员登录
│   ├── platform-select.html      # Platform Selector - 平台选择
│   ├── server.py                 # Dev Server - 开发服务器
│   ├── 📁 src/                   # Source Code - 源代码
│   │   ├── 📁 components/        # Components - 组件
│   │   ├── 📁 contexts/          # Contexts - 上下文
│   │   ├── 📁 pages/             # Pages - 页面
│   │   ├── 📁 services/          # Services - 服务
│   │   └── 📁 types/             # Types - 类型定义
│   ├── 📁 public/                # Public Assets - 静态资源
│   └── Dockerfile                # Frontend Container - 前端容器
├── 📁 docker/                    # Docker Config - Docker 配置
│   ├── 📁 nginx/                 # Nginx Configuration - Nginx 配置
│   └── 📁 postgres/              # PostgreSQL Setup - PostgreSQL 设置
├── 📁 docs/                      # Documentation - 文档
│   ├── DEPLOYMENT.mdx            # Deployment Guide - 部署指南
│   ├── ARCHITECTURE.mdx          # System Design - 架构设计
│   ├── API.mdx                   # API Reference - API 参考
│   ├── TESTING.mdx               # Testing Guide - 测试指南
│   ├── AI_ASSISTANT.mdx          # AI Assistant Context - AI 助手上下文
│   ├── SELINUX-GUIDE.mdx         # SELinux Configuration - SELinux 配置指南
│   └── TROUBLESHOOTING.mdx       # Troubleshooting Guide - 故障排除指南
├── 📁 scripts/                   # Utility Scripts - 实用脚本
│   ├── backup.sh                 # Backup Script - 备份脚本
│   ├── test_integration.sh       # Integration Test - 集成测试
│   ├── test_login.sh             # Login Test - 登录测试
│   └── cleanup-docker.sh         # Docker Cleanup - Docker 清理
├── docker-compose.yml            # Docker Compose Config - 编排配置
├── docker-compose.prod.yml       # Production Config - 生产配置
├── .env.example                  # Environment Template - 环境模板
├── README.md                     # This File - 本文件
├── CHANGELOG.md                  # Changelog - 变更日志
├── CONTRIBUTING.md               # Contributing - 贡献指南
├── CODE_OF_CONDUCT.md            # Code of Conduct - 行为准则
└── LICENSE                       # MIT License - MIT 许可证

See .env.example for full configuration template.

• 📖 README.md - This file / 本文件 (Overview & Quick Start)
• 🚀 DEPLOYMENT.mdx - Detailed deployment guide / 详细部署指南
• 🏗️ ARCHITECTURE.mdx - System architecture & design / 系统架构与设计
• 🔌 API.mdx - Complete API reference / 完整 API 参考
• 🤝 CONTRIBUTING.md - Development guidelines / 开发指南
• 📝 CHANGELOG.md - Full release history / 完整版本历史
• 🤖 AI_ASSISTANT.mdx - AI assistant context / AI 助手上下文
• 🆘 TROUBLESHOOTING.mdx - Troubleshooting & emergency fixes / 故障排除与应急修复

POST   /api/v1/auth/register              # User registration / 用户注册
POST   /api/v1/auth/login                 # User login / 用户登录
POST   /api/v1/auth/logout                # User logout / 用户登出
GET    /api/v1/auth/me                    # Get current user / 获取当前用户
PUT    /api/v1/auth/me                    # Update user info / 更新用户信息

GET    /api/v1/patients                   # List patients / 患者列表
POST   /api/v1/patients                   # Create patient / 创建患者
GET    /api/v1/patients/me                # Get my patient profile / 获取我的患者档案
PUT    /api/v1/patients/me                # Update my profile / 更新我的档案
GET    /api/v1/patients/{id}              # Get patient by ID / 根据 ID 获取患者

POST   /api/v1/ai/comprehensive-diagnosis # Full diagnosis / 完整诊断
POST   /api/v1/ai/diagnose                # Simple diagnosis / 简单诊断
POST   /api/v1/ai/analyze                 # Symptom analysis / 症状分析

GET    /api/v1/medical-cases              # List cases / 病例列表
POST   /api/v1/medical-cases              # Create case / 创建病例
GET    /api/v1/medical-cases/{id}         # Get case / 获取病例

POST   /api/v1/documents/upload           # Upload file / 上传文件
GET    /api/v1/documents/{id}             # Get document / 获取文档
POST   /api/v1/documents/{id}/extract     # Extract text / 提取文本

Full API documentation is available at /api/docs when the application is running. 完整 API 文档在应用运行时可访问 /api/docs。

# Backend tests / 后端测试
cd backend
pytest

# Frontend tests / 前端测试
cd frontend
npm test

# Health check / 健康检查
curl http://localhost/health

# Register test / 注册测试
curl -X POST http://localhost:8000/api/v1/auth/register \
  -H "Content-Type: application/json" \
  -d '{"email":"[email protected]","password":"test123456","full_name":"Test User"}'

# Login test / 登录测试
curl -X POST http://localhost:8000/api/v1/auth/login \
  -H "Content-Type: application/json" \
  -d '{"email":"[email protected]","password":"test123456"}'

位于 scripts/ 目录：

• backup.sh - 备份数据库和配置文件 / Backup database and config files
• test_integration.sh - 集成测试 / Integration testing
• test_login.sh - 登录测试 / Login testing

cd backend
python -m venv venv
source venv/bin/activate  # Windows: venv\Scripts\activate
pip install -r requirements.txt
uvicorn app.main:app --reload --host 0.0.0.0 --port 8000

cd frontend
# No build step needed / 无需构建步骤
# Simply serve static files / 直接提供静态文件
python -m http.server 3000

We welcome contributions! Please see CONTRIBUTING.md for details.

欢迎贡献！详情请参阅 CONTRIBUTING.md。

# 1. Fork the repository / Fork 仓库
# 2. Create feature branch / 创建功能分支
git checkout -b feature/AmazingFeature

# 3. Commit changes / 提交更改
git commit -m 'Add some AmazingFeature'

# 4. Push to branch / 推送到分支
git push origin feature/AmazingFeature

# 5. Open Pull Request / 创建 Pull Request

This project is licensed under the MIT License - see the LICENSE file for details.

本项目采用 MIT 许可证 - 详情请参阅 LICENSE 文件。

MIT License

Copyright (c) 2025 MediCareAI Contributors

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

• AI LLM: OpenAI-compatible API support / 支持 OpenAI 兼容 API
• MinerU: Document processing and text extraction / 文档处理和文本提取
• FastAPI: Modern, fast web framework / 现代快速 Web 框架
• PostgreSQL: Powerful open-source database / 强大的开源数据库
• OpenXLab: AI model hosting platform / AI 模型托管平台

• Issues: GitHub Issues
• Documentation: Full Documentation
• Email: [email protected]

MediCareAI - Empowering Healthcare with AI / 用 AI 赋能医疗健康

Made with ❤️ for better healthcare / 为更好的医疗而造