Australian researchers have developed an artificial intelligence (AI) tool that can detect small brain malformations that are difficult to spot in children with epilepsy.
This tool could significantly improve treatment and provide potential treatments for children with drug-resistant epilepsy.
The latest examples show how AI can help physicians with diagnostics, reducing critical data and playing a vital role in healthcare changes.
Experts have identified several different causes of epilepsy, and overall, about 3 of 10 cases are due to structural abnormalities in the brain.
Small brain lesions that cause seizures are frequently overlooked with MRI scans, especially the smallest lesions that can be hidden at the bottom of the brain.
A pediatric neurologist at Royal Children's Hospital in Melbourne trained an AI tool for children's brain imaging to find compatibility below the size of blueberries.
In this context, McDonald Lars held a briefing prior to the publication of the team's research in the journal Epilepsy She stated, “They are often overlooked and many children are not considered surgical candidates.”
A similar study was published in February by the KCL team using AI in MRI data and observed that radiologists discovered 64% of epileptomatic binding brain lesions they previously missed.
Nevertheless, the results were exciting as proof of the concept of AI tools in the treatment of pediatric epilepsy. It has been dramatically performed to improve diagnostic accuracy in children with resistant attacks.
