Abhinav K. Jha, PhD, assistant professor of radiology and of biomedical engineering at Washington University in St. Louis, and Barry A. Siegel, MD, professor of radiology, led a team of researchers that outlined a framework for objective task-based evaluation of artificial intelligence (AI)-based methods before they are introduced into clinical practice.
The evaluation framework is based on principles from the field of objective assessment of image quality. It provides a mechanism to evaluate AI methods on tasks such as detection, quantification or both. Further, it suggests that the evaluation should model patient populations seen in the clinic, which may include different ethnicities, races, genders, body weights and ages.
Read more on the School of Medicine’s website.