[Brain MRI-Based Artificial Intelligence Software in Patients with Neurodegenerative Diseases: Current Status]
Taehan Yongsang Uihakhoe Chi
|October 14, 2022
Summary
Artificial intelligence (AI) applied to brain MRI aids early neurodegenerative disease diagnosis. This review covers AI software development, current Korean applications, future potential, and limitations for improved patient care.
Area of Science:
- Neuroscience
- Medical Imaging
- Artificial Intelligence
Context:
- Increasing incidence of neurodegenerative diseases in aging populations.
- Neuroimaging, particularly MRI, is a crucial biomarker for diagnosis.
- Need for objective, reliable, and precise early detection methods.
Purpose:
- To review the development of AI-based brain volumetry analysis software for neurodegenerative diseases.
- To present current AI software used and developed in the Republic of Korea.
- To discuss future applications and limitations of AI in this field.
Summary:
- AI, especially using brain MRI, offers potential for early diagnosis and treatment planning in neurodegenerative diseases.
- MRI-based AI software, including volumetry and segmentation tools, are advancing worldwide.
- The review details AI software evolution, Korean advancements, future prospects, and current constraints.
Impact:
- Facilitates earlier and more accurate diagnosis of neurodegenerative diseases.
- Enables optimized treatment decisions through objective data analysis.
- Highlights the growing role of AI in neurological research and clinical practice.
