Name: XNAT
Author: NRG- The Neuroinformatics Research Group at the Washington University School of Medicine

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Business Intelligence (BI)

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VoIP

Enterprise

Accounting

Payment Orchestration

Finance and Accounting

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Corporate Learning Management

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HR Management

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Recruitment Agency

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Talent Management

Workforce Analytics

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Human Resources

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C/C++ Integrated Development Environments

Cloud Storage

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Enterprise Architecture Management

Fraud Detection

Hadoop-Related

High Availability Cluster

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Integration Platform as a Service (iPaaS)

IoT Security

MLOps

Network Performance Monitoring

Network Virtualization

Non-Relational Databases

Process Mining

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Threat Hunting

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Multichannel Retail

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Insurance Underwriting and Rating

Library Management

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Military and Defense

Moving Software

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Vertical-Specific

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XNAT is an open source imaging informatics platform developed by NRG at the Washington University School of Medicine. According to the vendor, it serves as a solution for managing and analyzing medical imaging and clinical data. XNAT is said to be suitable for organizations of all sizes, from small research labs to large medical institutions. It caters to a range of professions and industries, including medical researchers and scientists, radiologists and imaging specialists, clinical trial coordinators, biomedical engineers, and pharmaceutical companies.

## Key Features

**Full DICOM Integration and Anonymization**: XNAT seamlessly integrates with DICOM systems, allowing users to easily import image data into the platform. According to the vendor, it also supports DICOM anonymization, allowing users to configure anonymization rules to protect personal health information (PHI).

**Secure Access & Permission Control**: XNAT provides robust access control features, allowing administrators to define user roles and permissions. According to the vendor, user authentication is supported through LDAP and OpenID servers, ensuring secure login credentials. Fine-grained access control allows administrators to restrict access based on user roles.

**Integrated Search & Reporting**: XNAT enables users to search and retrieve imaging and clinical data using flexible search criteria. According to the vendor, it allows users to generate customizable reports that combine image and clinical data, facilitating data analysis and reporting. Advanced search capabilities, such as keyword search and filtering, are said to help users quickly find the data they need.

**Pipeline Processing**: XNAT leverages high-performance computing capabilities to enable pipeline processing on imaging data. Users can define and execute data processing pipelines, automating complex analysis workflows. According to the vendor, the platform supports the integration of various processing tools and algorithms, allowing users to customize their pipelines.

**Modular Extensibility**: XNAT is designed to be highly extensible, allowing users to customize and expand its capabilities. Users can develop and integrate their own plugins to add new features or integrate with external systems. The modular architecture of XNAT enables easy integration of additional functionality without modifying the core system, according to the vendor.

XNAT is an open source informatics for imaging research.

XNAT

Clinical Data Management

FAIR automated image analysis using XNAT container services - Health-RI conference - demo

NRG- The Neuroinformatics Research Group at the Washington University School of Medicine

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What is XNAT?