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
Machine Learning Model Enhances Risk Stratification for Prostate MRI
Researchers developed machine learning models that outperform PSA testing in predicting abnormal prostate MRI findings for suspected prostate cancer.
•AuntMinnie
AI's Evolving Role in Tackling Radiology Workforce Shortages
AI technologies are emerging as key tools to alleviate radiology workforce shortages by improving efficiency and supporting clinical workflows.
•Radiology Business
Multimodal LLMs Struggle with Radiology Board Image Questions
Latest multimodal large language models show limitations on image-based radiology exam questions.