<b>A</b><b>rtificial </b><b>I</b><b>ntelligence–</b><b>A</b><b>ssisted </b><b>H</b><b>emod

A 2026 systematic review and meta-analysis by Said KHALLIKANE synthesizes evidence on artificial intelligence-assisted hemodynamic monitoring in adult cardiac surgery. The study, following PRISMA guidelines, aggregates data from randomized and observational studies to evaluate impacts on intraoperative hypotension and secondary outcomes like ICU length of stay. It is available as a 3.4 MB DOCX file under a CC0-1.0 license.

Use Cases

• Benchmarking AI-guided monitoring strategies like the Hypotension Prediction Index against standard care based on the described evidence synthesis.
• Analyzing the relationship between AI-assisted hemodynamic stability and patient outcomes such as lactate levels and mortality based on the secondary outcomes studied.
• Informing the design of future clinical trials for AI in high-risk surgery based on the systematic review's evaluation of effectiveness and limitations.

Strengths

• Follows PRISMA guidelines for systematic review methodology, suggesting a structured approach.
• Includes both quantitative meta-analysis and qualitative synthesis of studies, as described in the summary.

Limitations

• The dataset is a 3.4 MB document, which is a small text file; the underlying data tables are not provided as a separate, machine-readable resource.
• Column-level documentation is absent; field semantics must be inferred from the document text after download.
• Row count for the underlying study data is unknown, which may limit suitability assessment for direct computational analysis.

Provenance

Source

Said KHALLIKANE via figshare

Collection Method

Systematic literature search across PubMed, Scopus, and the Cochrane Library, with subsequent meta-analysis.

Freshness

Last updated 2026-04-28 19:53:31; freshness should be verified.