Researchers developed an AI tool that identifies focal cortical dysplasia on imaging, aiding diagnosis and surgical planning for epilepsy.
Key Details
- 1An AI tool can detect small focal cortical dysplasias often missed by radiologists on MRI.
- 2Specifically effective for identifying bottom-of-sulcus dysplasia, a cause of recurring seizures.
- 3Accurate detection enables surgical intervention that may result in seizure cessation.
- 4Developed by a team including clinicians at the Royal Children’s Hospital Melbourne.
- 5Timely identification improves pediatric epilepsy outcomes, preventing learning difficulties.
Why It Matters
This AI tool has the potential to significantly improve detection of subtle epilepsy-causing brain lesions that standard MRI techniques may miss, thus leading to quicker, more effective treatment. Improved early detection is especially vital for children, potentially preventing long-term cognitive impacts.
Source
Radiology Business
Related News
•AuntMinnie
Paul Chang Discusses Foundation Models and Agentic AI at RSNA 2025
Dr. Paul Chang shares his insights on the role of foundation models and agentic AI in radiology at RSNA 2025.
•AuntMinnie
Toronto Study: LLMs Must Cite Sources for Radiology Decision Support
University of Toronto researchers found that large language models (LLMs) such as DeepSeek V3 and GPT-4o offer promising support for radiology decision-making in pancreatic cancer when their recommendations cite guideline sources.
•AuntMinnie
AI Model Using Mammograms Enhances Five-Year Breast Cancer Risk Assessment
A new image-only AI model more accurately predicts five-year breast cancer risk than breast density alone, according to multinational research presented at RSNA 2025.