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-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…
mint Lesion radiomics leverage precision medicine
The benefits that texture analysis and radiomics have shown already, and the improved availability of large data sets led to an increased interest in…
Enhanced value of health data through Common Data Elements (CDE)
Today, it is generally agreed that standardized language used in radiology reports improves communication with the treatment team and patients, with a…
Potential of longitudinal data from single site and multi-center clinical trials for AI-research
Home of excellence for cancer care innovation
In a multidisciplinary center that networks medical research, natural sciences, engineering sciences, computer science and business administration, in…
Royal Marsden London: Study shows prediction power of CT-based 2D and 3D texture analysis for liver metastases
2 minute(s)
In a retrospective study [1], a team from Royal Marsden in London and Sutton explored changes of CT texture analysis metrics in unresectable liver…
The Mint Experience of Dr. Stephen Raskin, Sheba Medical Center in Tel Aviv
From my initial experience with mint Lesion™ software, and over the time I have been using it, I have been pleased with the software and come to…
How mint Lesion 3.5 helps you to benefit from Artificial Intelligence in Radiology
According to researchers, every adult makes 35,000 decisions each day. While there are no numbers in literature about how many decisions a radiologist…
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