Categories: Data Visualization

Radiological Cooperative Network (RACOON)

RACOON - What's Next?

Since mid-2020, mint Lesion™ has been successfully used within the Radiological Cooperative Network (RACOON), in the University Medicine Network which…

„Anatomical GPS“ for mint Lesion™: Leveraging the Snke OS/Brainlab Anatomic Patient Model to drive anatomic-context-awareness and automation within mint Lesion™

More automation within mint Lesion™? Automated context-dependent template selection, filtering of relevant questions or even fully automated organ and…

Project „KoMed“: The cognitive medical assistant for risk and complication prevention

Funded by the Ministry of Science, Research and the Arts of Baden-Wuerttemberg, Mint Medical has been supporting the Heidelberg University Hospital as…

mint Analytics: Real-time data visualization and analysis in clinical trials with imaging endpoints

ExploreCOVID: An explorative cohort study to identify optimal CT imaging biomarkers in combination with clinical markers and PCR-RT for the diagnosis and therapy response assessment of COVID-19

Funded by the German Federal Ministry of Education and Research, the ExploreCOVID project aims to analyze patient history and clinical as well as…

Creating evidence to tackle COVID-19

Our COVID-19 reading template is in use for two weeks, and its usage is multiplying. We are grateful for the close cooperation and feedback from…

Mint Medical provides a reading template for the standardized assessment and documentation of COVID-19 disease (coronavirus) based on CT imaging

In the first week of March, we will make the relevant software functions available for all our current users at no cost. We plan to offer the COVID-19…

Recording of RSNA 2019 AI theater presentation | Power food for AI

At this year’s RSNA, Mint Medical presented its AI approach to the audience at the AI theater. Tobias Gottmann and Aditya Jayaram highlighted how…

Data Analytics and Instant-Trial Research

Context-driven read procedures in mint Lesion™ facilitate the generation of well-structured data on a large scale. At RSNA 2016, Mint Medical presents…