Accurate Diagnosis of Brain Tumors Using Artificial Intelligence

Study by Karl Landsteiner University for Health Sciences demonstrates partial superiority of artificial intelligence and physiological image data in brain tumor classification
By: Karl Landsteiner University of Health Sciences
KREMS, Austria - June 21, 2022 - PRLog -- The classification of brain tumors – and thus the choice of optimal treatment options – can become more accurate and precise through the use of artificial intelligence in combination with physiological imaging. This is the result of an extensive study conducted by the Karl Landsteiner University for Health Sciences (KL Krems). Multiclass machine learning methods were used to analyze and classify brain tumors using physiological data from magnetic resonance imaging. The results were then compared with classifications made by human experts. Artificial intelligence was found to be superior in the areas of accuracy, precision and misclassification, among others, while professionals performed better in sensitivity and specificity.

Brain tumors can be easily detected by magnetic resonance imaging (MRI), but their exact classification is difficult in this way. Yet that's precisely what's crucial for choosing the best possible treatment options. Now, an international team led by KL Krems has used data from modern MRI methods as the basis for machine learning (ML) protocols and assessed the use of artificial intelligence to classify brain tumors. They found that in certain areas, classification using artificial intelligence can be superior to that performed by trained professionals.

Scientific Contact

Prof. Dr. Andreas Stadlbauer

Institute of Medical Radiology Diagnostics

University Hospital St. Pölten

Karl Landsteiner University of Health Sciences
3500 Krems / Austria

T +43 2742 9004-14198


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Dr. Barbara Bauder

Kollersteig 68

3400 Klosterneuburg / Austria

M +43 664 1576350



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Location:Krems - Lower Austria - Austria
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