Using data from 71 institutions across six continents, the project demonstrated the ability to improve brain tumor detection by 33%.

They're using machine learning to fully analyze a patient's tumour, to better predict cancer progression. Researchers analyzed two sets of MRIs from each of five anonymous patients suffering from GBM.

Research shows that CNNs trained on camouflage detection improve brain tumor classification in MRI scans, highlighting the potential of unconventional training.

Intel and Penn Medicine will collaborate to develop a brain tumor-detecting AI using a technique called federated learning.

The idea behind federated learning is that training AI models to detect brain tumors early requires researchers to have access to large amounts of data, but it is also essential that the data ...

A University of Cincinnati study found machine learning models can aid in the automation and detection of abnormal brain activity sometimes referred to as a "brain tsunami." ...

The researchers at New York University studied the accuracy of machine learning in producing precise and real-time intraoperative diagnosis of brain tumors.

Researchers at the University of Waterloo have created a computational model to predict the growth of deadly brain tumours more accurately.