The American College of Radiology (ACR) Data Science Institute (DSI) has released six new artificial intelligence (AI) use cases detailing how the technology can be used in a variety of disease detection and lesion quantification scenarios in neuroradiology.
The new AI use cases include the following:
- Hemorrhagic brain contusion
- Detection of communicating hydrocephalus
- Cerebrospinal fluid flow quantification
- White-matter lesion tracking in multiple sclerosis
- Quantifying carotid stenosis on CT angiography
- Identifying non-enhancing infiltrative tumor in high-grade glioma
With the new releases, the ACR DSI has now published 21 use cases for neuroradiology AI, according to the organization. All AI use cases are available for free on the ACR DSI's website.
