Scientists have recently detailed how automation and machine learning can aid clinicians treating patients with spreading depolarizations, sometimes referred to as 'brain tsunamis.' A University of ...

Dr. Khan Iftekharuddin received a $2.3 million National Institutes of Health grant to develop AI that detects glioblastoma earlier and tracks recurrence.

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Usually, these individuals are only referred for brain imaging if their physician suspects an underlying problem. But in the simulation, sending patients who received a liquid biopsy result suggestive ...

Meningioma is the most common type of brain tumor. It does not develop in the brain tissue itself, but on the inside of the ...

An area of great hope and promise for applied artificial intelligence (AI) deep learning is at the intersection of neuroscience and oncology, both challenging fields known for their inherent ...

A novel tool for rapidly identifying the genetic "fingerprints" of cancer cells may enable future surgeons to more accurately remove brain tumors while a patient is in the operating room, new research ...

Machine learning is a multibillion-dollar business with seemingly endless potential, but it poses some risks. Here's how to avoid the most common machine learning mistakes. Machine learning technology ...

Some brain tumors are invasive, with tentacle-like borders that can resemble healthy brain tissue but infiltrate it, making it very difficult for doctors to be certain that they’ve removed all of the ...

Using this technique, investigators successfully detected brain cancer about three-quarters of the time in a cohort of 505 patients from the United States and South Korea. The team verified the ...