Structured Healthcare Image Data Solutions

Effectively seizes and organizes medical image data into actionable content utilizing scalable AI tools.

Healthcare image data collection captures and identifies key medical imaging information related to modality, anatomy, pathology, resolution, as well as contextual metadata, also known as contextual information, that allow collecting data and structure it in a way that could work for future analysis, along with actionable insights.

The information can be collected manually or scaled using automated systems with Computer Vision (CV) and Artificial Intelligence (AI) that allows health care image processing to be faster, more accurate, and more reliable.

Once healthcare imaging data is captured, it can then be pulled into a database, analytic dashboard, content management 

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system, or enterprise-healthcare application, where it can be monitored, analysed or developed into actionable insights for medical imaging research, clinical decision support, and/or health care workflows.

StatsWorks captures healthcare image data and structures it is using AI and Computer Vision to deliver accurate, precise, and actionable insights for medical enterprises. Officially,

Core Features

Collect medical image data using AI, designed to integrate seamlessly into your health software ecosystem.
How it Works

You can upload medical images and/or videos so the AI can document, process, and extract critical clinical and patient information.

  • Supported input formats: DICOM, JPG, PNG, MP4, MOV
  • JSON response: Structured and inclusive of anatomy, pathology, scan type, size, location, and any other actionable clinical information.
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Upload your files to extract real-time, AI-based imaging data for your diagnostics, research, or clinical use.