An elite research team from Heidelberg University Hospital and the German Cancer Research Center have developed a novel technology that involves machine learning methods trained on standard MRI to assess treatment response among patients with glioblastoma.
In a study reported this spring, the German team sought to overcome the limitations of manual assessment of glioblastoma by developing a framework relying on artificial neural networks for fully automated quantitative analysis of MRI in neuro-oncology.
The study results were more reliable and precise than standard radiological methods reported the research team as reported by Healio. Follow the link for a brief interview of the lead researcher.
Klaus Maier-Hein, Ph.D., head of medical imaging computing, Heidelberg University Hospital