关键词 "Medical Device Certification" 的搜索结果， 共 19 条, 只显示前 480 条
This is a Model Context Protocol (MCP) server that provides access to the Shodan API. It allows you to programmatically query Shodan for information about devices, vulnerabilities, and more.
A collection of Medical MCP servers.
A specialized MCP server for Claude Desktop that enhances AI-assisted medical learning
MCP server for medical calculations
A MCP Server for biomedical Literature Database
This project is a Node.js application designed for use with Claude Desktop. It simulates a CO2 sensor device and provides a JSON-RPC server to interact with the device. The application can run in both
A Python MCP Server for Paper Analytical Devices (PAD)
A server for managing contextual data in DICOM tools, supporting medical imaging and machine learning workflows.
MCP server for searching and querying PubMed medical papers/research database
A Model Context Protocol (MCP) server for interacting with Home Assistant. This server provides tools to control and monitor your Home Assistant devices through MCP-enabled applications.
MCP Server for IOT Devices
Node.js/TypeScript MCP server for AWS Single Sign-On (SSO). Enables AI systems (LLMs) with tools to initiate SSO login (device auth flow), list accounts/roles, and securely execute AWS CLI commands us
An MCP server for Omi devices calling uber
This project is a Java-based UI automation framework that integrates with Appium and utilizes LLMs (like Claude) to drive intelligent test actions on mobile devices and simulators.
MCP server to let LLM take full control on your device by providing screen automation toolkit for controlling and interacting with graphical user interface
FaceAge是一款AI人脸识别扫描模型，它通过数万张患者照片和公共图像数据库进行训练，能够精准判断个人衰老迹象。 模型描述 FaceAge 深度学习流程包括两个阶段：面部定位和提取阶段，以及带有输出线性回归器的特征嵌入阶段，可提供生物年龄的连续估计。 第一阶段通过在照片中定位人脸并在其周围定义一个边界框来预处理输入数据。然后对图像进行裁剪、调整大小，并在所有 RGB 通道上对像
Lingshu是阿里巴巴达摩院推出的专注于医学领域的多模态大型语言模型。模型支持超过12种医学成像模态，包括X光、CT扫描、MRI等，在多模态问答、文本问答及医学报告生成等任务上展现出卓越的性能。Lingshu基于多阶段训练，逐步嵌入医学专业知识，显著提升在医学领域的推理和问题解决能力。推出7B、32B两个参数版本，其中32B版本在多个医学多模态问答任务中超越GPT-4.1等专有模型。Lingsh
MAI-DxO（Microsoft AI Diagnostic Orchestrator）是微软推出的先进人工智能系统，能提升医疗诊断的准确性和效率。基于模拟一组具有不同诊断方法的虚拟医生协作解决复杂的医疗案例。MAI-DxO能提出后续问题、订购检查，在获取新信息后更新推理，逐步缩小诊断范围。MAI-DxO能进行成本检查，确保在成本约束内做出诊断。在对《新英格兰医学杂志》发布的复杂病例进行测试时，
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