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

Assessment time halved: Importance of a good tumor response assessment tool in clinical site reads

The Clinical Research Imaging Core (CRIC) of the University of Wisconsin Carbone Cancer Center (UWCCC) recently published a poster at the AACI CRI…

Study - free text reporting vs. mint Lesion in clinical routine

Free text reporting in the tumor response assessment of radiologic imaging data is common in clinical routine, whereas in clinical trials standardized…

6 years of Mint at University Hospital Basel - Interview with PD Dr. Tobias Heye

Since the end of 2011, mint Lesion™ has been in use at the University Hospital in Basel, Switzerland, – initially merely as a tool for clinical…