Healthcare AI Alzheimers detection AI diagnostics Machine learning Ucla research

New UCLA AI tool targets Alzheimer's cases often missed in early diagnosis

abc7.com

January 25, 2026

2 min read

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Summary

UCLA researchers are developing an AI tool to identify individuals at risk of Alzheimer's disease, aiming to improve early diagnosis and reduce disparities in affected communities. Early detection is crucial as new therapies can be prescribed for patients with early-stage Alzheimer's.

Key Takeaways

UCLA researchers developed an AI tool that identifies individuals at risk of Alzheimer's disease, aiming to reduce disparities in diagnosis among communities.
The AI algorithm captures about 80% of undiagnosed Alzheimer's cases, nearly doubling the accuracy of existing models.
The tool is designed to recognize cases more effectively in underrepresented groups, such as Black and Latino populations, who are at higher risk but often receive fewer diagnoses.
Early diagnosis of Alzheimer's is crucial for accessing new therapies and implementing lifestyle changes to potentially slow disease progression.

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