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

Enhancing flexibility and communication while saving costs and time in clinical trials

Emily Ferris and Alex Arbuckle describe how using mint Lesion™ has enhanced their clinical trial operations, enabling “a more cooperative approach…

University Hospital Jena: Next-level Workflow Optimization in Clinical Trials

How to set up a well-running clinical trial center that can handle up to 40 trials at once has been successfully demonstrated by Laura Graziani, study…

Structured Reporting of Solid and Cystic Pancreatic Lesions in CT and MRI: Consensus-Based Reporting Templates of the German Radiological Society (DRG)

During the daily clinical routine, radiological reports on pancreatic lesions are often written as freeform texts. This causes several problems, in…