Stay Informed: Transforming Radiology with Structured Reporting and Data-Driven Approaches

Dive into our activities, projects, and product updates. Catch on the latest industry news and learn who we are as a company and as a team.

Central Imaging Review Analysis with mint Lesion

Central Imaging Review Analysis with mint Lesion - read-ready in minutes, not weeks

Watch in the video above a demonstration of our central imaging review software featuring a pre-configured, master trial workflow database designed to support your study requirements with read-ready functionality quickly available.

  • Multiple read paradigms: Support for single reads, double reads with adjudication, and eligibility workflows
  • Multi-criteria reads: Apply multiple evaluation frameworks to the same image
  • Flexible templates: Use standard response criteria read templates or custom eCRFs you design
  • Built-in analytics: Volumetrics, SUVs, tumor growth rates, and radiomics capabilities
  • Automated notifications: Alerts configured to align with your review flow
  • Export functionality: One-click exports for images, data (CDISC, radiomics, observations), and structured results

 

Related Resources

Related Resources

Puzzle pieces connecting to an interoperable system

Healthcare on FHIR: Igniting the Potential of Interoperability

Interoperability plays a crucial role in healthcare: it enables seamless communication of patient information across different systems, leads to…

Doctors looking at MRI scans to evaluate a glioblastoma.

Optimizing Glioblastoma Imaging: Enhancing MRI Efficiency and Quality with Deep Learning

This study investigates the use of deep learning (DL) to optimize MRI protocols for glioblastoma patients, aiming to reduce scan time and improve…

Three important sequences (FLAIR, T2, T1 with contrast agent) in the assessment of glioblastoma

University Hospital Tübingen: Advancing MRI Efficiency in Glioblastoma Care with Deep Learning

This study explores the use of deep learning (DL) to optimize MRI protocols for glioblastoma patients. Glioblastomas, known for being the most…