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Scientists Diagnose Brain Tumors Using AI

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The two best ML algorithms (‘adaptive boosting’ and ‘random forest’) outperformed human assessment results in accuracy and precision.


A recently published study by Karl Landsteiner University for Health Sciences demonstrated the use of artificial intelligence in brain tumor classification.

The study that was conducted by the Karl Landsteiner University for Health Sciences (KL Krems) found that multiclass machine learning methods could be used to analyze and classify brain tumors using physiological data from magnetic resonance imaging (MRI). 

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.

From Scientific Computing World
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