New AI model efficiently reaches clinical-expert-level accuracy in complex medical scans

In this article:  

• UCLA researchers have developed a deep-learning framework that can quickly analyze and diagnose MRIs and other 3D medical images.
• The system achieves accuracy comparable to that of medical specialists, but in a fraction of the time.
• This work has been published in Nature Biomedical Engineering.
• Unlike other models, this framework is adaptable across various imaging modalities such as 3D retinal scans, ultrasound videos, 3D MRI, and 3D CT.
• It has been tested for detecting disease risk biomarkers, assessing liver disease, and screening chest nodules for malignancy.
• The researchers plan to explore its use in additional clinical settings.