Clinical Cognitive Science: Diagnostic classification judgments

Post date: Nov 1, 2018 9:38:11 PM

We are using cognitive modeling to understand the perceptual and decisional contributions to interpretation of radiographic images (e.g., mammograms). Understanding these processes could help to mitigate diagnostic classification errors and improve training. It could also contribute to the design of better radiography displays. For example, human perception and decision processes likely interact in different ways depending on the information presented across imaging technologies, such as 2D and 3D X-ray displays and in medical sensor-fusion images that overlay information from multiple sensing technologies.