AI cancer detection models require calibration to attain the desired balance between cancer detection rate (CDR) and false positive rate. In this study, we simulate the impact of six types of mismatches between the…
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Introduction
iCAD, Inc., a global leader in AI-powered cancer detection solutions, is set to showcase groundbreaking research at the Society for Imaging Informatics in Medicine (SIIM) Annual Meeting 2024. The focus will be on the…
Introduction
In the realm of cancer detection, artificial intelligence (AI) has shown immense promise. However, the development of effective AI algorithms depends heavily on the availability of high-quality, annotated medical data. A groundbreaking method developed…
