The Knowledge Hub for Medical Imaging Professionals: Transforming Radiology with Structured Reporting, Data-Driven Approaches and Multicentric Research

Access breakthrough research, innovative case studies and collaborative projects advancing radiology worldwide. Dive into our activities and product updates, 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

Real-world data to enhance clinical trial evidence

In randomized controlled trials (RCTs), a vast proportion of patients does not meet the precise inclusion criteria. In oncology, for example,…

Improving interdisciplinary communication when using PI-RADS v2.1

Dr. Robert McFarland shares his experience of using mint Lesion™ at his radiology practice in this brief interview. He talks about the challenges of…

Data-driven healthcare through FIHR®-enabled interoperability

Nowadays, it is not unusual for healthcare systems to use numerous clinical applications from different vendors. Most tend to prefer flexibility for…