Artificial Intelligence for Predicting Amputation and Related Outcomes in Peripheral Artery Disease: A Systematic Review and Meta-Analysis.
AI models trained on medical registries outperform other data sources at predicting amputation risk in peripheral artery disease patients.
This PubMed record reports a systematic review and meta-analysis about Artificial Intelligence for Predicting Amputation and Related Outcomes in Peripheral Artery Disease: A Systematic Review and Meta-Analysis. The available abstract indicates Registry-based studies showed higher pooled AUC than non-registry studies (092 vs 080; p = 0004).
What the study was
- Study design
- Systematic review and meta-analysis
- Population
- Human participants
- Category
- Diagnostics
- Maturity
- Validated
- Journal
- Annals of vascular surgery
Why it surfaced
Systematic review and meta-analysis; directly matches AI/ML in clinical diagnostics and imaging. Conservative abstract-level score 9/10.
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