neurology
AI for Parkinson Disease Diagnosis: What the Evidence Shows
Specialty
Pathology AI
Digital-pathology tools depend heavily on slide staining, scanner hardware, and lab protocol variation. Appraisals in this specialty weigh external validation across labs and sample-size adequacy for rare histologic patterns.
Appraised tools compared
- Tool
- AIDP
- FDA status
- FDA De Novo classification DEN240071
- External validation
- Not independently validated
- Key metric
- AUROC >96%
Neurology
AI-powered Parkinson's support groups have almost no published evidence
- Tool
- Patrika
- FDA status
- Not FDA-cleared
- External validation
- No external validation
- Key metric
- 99% intent-identification accuracy
Sports Medicine
AI Sports Injury Recovery Prediction Lacks Validated Clinical Evidence
- Tool
- Return-to-sport ML models
- FDA status
- No FDA clearance identified for this indication
- External validation
- Limited external validation
- Key metric
- AUC up to 0.96
Cardiology
How Much Does the Flu Shot Really Cut Atrial Fibrillation Risk?
- Tool
- Influenza vaccination
- FDA status
- Not applicable
- External validation
- No
- Key metric
- HR 0.80
Neurology
How Foundations Are Powering Parkinson's AI Research
- Tool
- PPMI, GP2, PD GENEration
- FDA status
- No FDA clearance (non-device)
- External validation
- Not established
- Manufacturer
- Michael J. Fox Foundation, Parkinson's Foundation, ASAP, APDA
Recent tracker activity
Open full trackerVocabulary for this specialty
Commonly needed to read pathology ai evidence: external validation, risk of bias, sample size and setting.
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