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.

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 every radiological read can contribute to an AI-powered future by seeding power food for AI.

Having mint Lesion in place, structured longitudinally connected image and reporting data will be captured for different oncological reading tasks. Those data could be used to empower personalized medicine, clinical decision support systems and to train and improve machine learning based algorithms.

Please find the recording of our AI theater presentation here: https://www.youtube.com/watch?v=Jo_NJRH1KFU&feature=youtu.be

Related Resources

Related Resources

Customized templates in mint Lesion 3.3

mint Lesion™ 3.3 features a novel data and knowledge modelling core that enables you to customize read procedures and reporting templates – or design…

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…

Leipzig shines as new host for German Radiology Congress

4 days full of sun – there couldn’t be any better circumstances for Leipzig to present itself as new host of the German Radiology Congress. Mint…