Mayo Clinic's new AI tool boosts dementia diagnostic accuracy and speed using FDG-PET scans.
Key Details
- 1Mayo Clinic developed an AI tool, StateViewer, to help diagnose differing types of dementia.
- 2The AI analyzes patterns in fluorodeoxyglucose PET (FDG-PET) scans and visualizes them in color-coded brain maps.
- 3Readers using the AI achieved up to three times higher diagnostic accuracy and interpreted results nearly twice as fast.
- 4StateViewer helps identify altered brain activity associated with various dementia symptoms.
Why It Matters
Precise and early differentiation of dementia types using imaging is challenging but crucial for treatment. Effective AI integration like StateViewer offers radiologists and neurologists more objective, rapid, and accurate assessment, directly impacting patient management.
Source
Health Imaging
Related News
•Radiology Business
UCLA Appoints Inaugural Associate Dean for Health AI Strategy
UCLA has appointed Katherine P. Andriole as its first associate dean for Health AI Strategy and Innovation, with an initial focus on radiology.
•AuntMinnie
AI Models Reveal Racial Disparities in Breast Cancer Patterns
Machine learning models reveal significant racial disparities and key predictors in breast cancer incidence across diverse groups.
•AuntMinnie
AI Algorithm Streamlines and Standardizes Shoulder Ultrasound Acquisition
A multitask AI system demonstrated high accuracy in standardizing and guiding shoulder musculoskeletal ultrasound imaging.