CuraMate Reader Studies

Overview

CuraMate Reader Studies is an highly efficient solution for planning, conducting, and managing image-based reader studies. Designed for both clinical and industrial partners, the platform transforms complex, manual workflows into guided, standardized digital processes. Study organizers can configure roles, tasks, and review procedures, ensuring consistent execution and reproducible results. Readers interact with DICOM images in an intuitive web interface that supports annotation, segmentation, and rating.

Built for scalability and collaboration, CuraMate Reader Studies can be deployed securely in private or public clouds, connecting multiple sites and partners. Its modular design allows easy integration with AI tools, clinical systems, and data repositories. By improving efficiency and quality, CuraMate Reader Studies accelerates medical innovation and enables faster, more reliable evidence generation for data-driven healthcare solutions.

 

 

Key Features

© Fraunhofer MEVIS
Frontend with selected CuraMate features

Customizable study workflows

Define tailored workflows for annotation, segmentation, and rating tasks. Adapt study structures, forms, and processes to specific project requirements for maximum flexibility and efficiency.

Guided reader process

Role-based access, structured worklists, and review stages ensure that readers follow consistent, standardized procedures, reducing variability and improving data quality.

Web-based, secure, and scalable

Accessible via any browser, deployable on private or public clouds, and designed for secure multi-user collaboration across institutions.

 

Benefits

© Fraunhofer MEVIS
Examples for different image modalities and research tasks

CuraMate Reader Studies simplifies complex image evaluation workflows and improves consistency between readers.

Clinicians, researchers, and industry partners benefit from:

  • Standardized study setups that reduce variability and error rates
  • Guided workflows and integrated quality control that accelerate data curation and shorten study timelines

These features improve overall reliability and help generate high-quality datasets for:

  • Regulatory submissions
  • AI model validation
  • Clinical decision support development

Our Offer

CuraMate Reader Studies is a comprehensive tool for conducting medical image reader studies.

Our offer includes dedicated support for study setup and implementation — from the configuration of study-specific workflows and reader roles to the integration of annotation and segmentation tools. We assist partners in defining optimal study designs, preparing datasets, and tailoring user interfaces.

Our team provides technical guidance, training, and maintenance to ensure a smooth and efficient study execution from start to finish.

For a personal demonstration, technical or licensing questions and other inquiries, please contact our experts. We are there for you and offer you customized solutions and a smooth integration that meets partner-specific needs.​ 

Fraunhofer MEVIS develops software solutions under an ISO-certified quality management system.

 

Outlook

CuraMate is continuously improved and extended. New features are typically developed as CuraMate extensions and thus can be made available for various projects and customers. 

 

The CuraMate Team

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Dr. Peter Kohlmann

Key Scientist eHealth Solutions

Fraunhofer Institute for Digital Medicine MEVIS

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Dr. Bianca Lassen-Schmidt

Principal Researcher Pulmonary Image Analysis, AI

Fraunhofer Institute for Digital Medicine MEVIS

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Dr. Hans Meine

Head of Image Analysis and Deep Learning

Fraunhofer Institute for Digital Medicine MEVIS