Clear, consistent, and complete documentation of imaging-derived information
The radiology report is expected to provide information that impacts life changing treatment decisions at every cancer care step in which imaging is…
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
University Hospital Tübingen: Study shows prediction power of clinical and CT imaging biomarkers
A recent retrospective study [1] conducted by researchers at University Hospital Tuebingen focused on identifying imaging and clinical predictors of…
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
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