Deep learning algorithms for predicting intraoperative hypotension: A systematic review and meta-analysis.
Hybrid AI architectures combining two deep-learning approaches show promise for predicting dangerous blood pressure drops during surgery.
This systematic review and meta-analysis examined deep learning algorithms for predicting intraoperative hypotension: a systematic review and meta-analysis. The abstract reports that meta-regression identified DL architecture as the only significant moderator of specificity (P = 0.02), with hybrid CNN-RNN exceeding pure CNN (beta = 1.77, 95% CI 0.45-3.09).
What the study was
- Study design
- Systematic review and meta-analysis
- Category
- Diagnostics
- Maturity
- Validated
- Journal
- Journal of clinical anesthesia
Why it surfaced
Systematic review and meta-analysis relevant to AI/ML in clinical diagnostics and imaging; score assigned conservatively from the PubMed abstract and metadata.
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