… The present study examined the current landscape of FDA-approved AI products specifically
designed for medical imaging and identified trends in clinical validation strategy as reported …

… by Missing Reference Image Datasets One of the main problems in the development of
systems for the analysis of medical images or segmentation algorithms is the set of images that is …

… the validation process in medical image processing. The diversity of problems and approaches
in medical imaging … However, we are convinced that general frameworks or validation …

… imaging biomarkers from significantly impacting clinical practice. This paper discusses how
imaging biomarkers can be clinically validated … and improve medical imaging workflow, im…

… in medical images” or “Algorithm A performs better than algorithm B at registering CT and MRI
images of the … Almost all papers that propose new medical image processing and analysis …

… lung imaging with a dynamic flat-panel detector (FPD). This study aimed to assess the
clinical … lung density on DCR in comparison to nuclear medicine imaging-derived metrics. …

… provide guidance for the validation needs of the … validate the combination of medical
imaging devices and their companion biomarkers. The need for the NTR and the Validation/Clinical …

… medical imaging involvement in the recent clinical trials is another main reason for increasing
the intricacies of clinical … sophisticated clinical trial for stroke, our imaging clinical research …

… Observer-driven pattern recognition is the standard for interpretation of medical images. To
… that we extract quantitative biomarkers from medical images that inform on disease detection, …

… , and clinical history). However, because clinical validation requires clinical image data sets
… the local conditions at clinical institutions, the availability of clinical validation data sets will …