# @fixelinstitute on Facebook

- **Type:** Image
- **Original URL:** https://www.facebook.com/1275465578125102/posts/901510065520657
- **Gondola URL:** https://gondola.cc/posts/64720677-fixelinstitute-facebook
- **Thumbnail:** https://img.gondola.cc/tr:w-,h-,fo-auto/postThumbnails/bbb9ad3f5a.jpg
- **Posted:** 2024-12-27T18:01:42.000+00:00
- **Account Owner:** Grace Huff (@GraceHuff3) — https://gondola.cc/GraceHuff3

## Caption

Key takeaways from a review of AI in Parkinson’s disease neuroimaging:

• 810 studies reviewed, 244 focused on AI for PD diagnosis, prognosis, or intervention.
• Most studies aimed to distinguish PD from healthy controls (54%) or atypical parkinsonian syndromes (25%).
• 20% passed all quality standards for data handling, model complexity, and reporting.

Common issues:
• Data leakage inflated accuracy results.
• Few studies used external test sets (8%).
• Data imbalance was not always addressed.

Conclusion: While AI shows promise, many studies need improvement in quality to boost clinical utility and generalizability. #Parkinsons #AI #Neuroimaging #Research

Full Study: https://pmc.ncbi.nlm.nih.gov/articles/pmid/39235364/

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## Tags

research, parkinsons, neuroimaging, ai

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