AI May Help Improve Brain Cancer Diagnosis
Traditionally, brain tumors are diagnosed by computer topography scans (CT), magnetic resonance imaging (MRI) or a neurologic exam. However, researchers from the Karl Landsteiner University for Health Sciences (KL Krems) have now discovered a more precise and accurate way of diagnosing brain cancer by using artificial intelligence (AI) combined with physiological imaging. The researchers used several multiclass machine learning techniques to study data sourced from MRIs and classified different brain tumors. They then compared the results produced through machine learning with classifications that were made by human specialists. Although the experts were better at specificity and sensitivity, the researchers discovered…
