Systematic Review of AI Use in Behavioral Analysis of Invertebrate Model Organisms

97 eligible studies published between 2015 and May 2025 were analyzed. The dataset is a systematic review mapping the application of artificial intelligence methods in behavioral analysis of invertebrate and larval organisms. It was authored by Zuzanna Stępnicka and published on figshare.

Use Cases

• Survey trends in AI adoption for behavioral analysis based on the review of 97 studies.
• Compare AI methods and model organisms used across laboratories based on the reported data.
• Identify gaps in reporting practices for input data and evaluation metrics based on the review findings.
• Support the development of standardized reporting frameworks for AI-driven behavioral analysis based on the proposed guidelines.

Strengths

• Analyzes 97 eligible studies, indicating a substantial review scope.
• Follows PRISMA 2020 guidelines, suggesting a structured methodological approach.
• Covers literature from 2015 to May 2025, providing a recent and decade-long perspective.

Limitations

• Metadata completeness: Description metadata is limited; actual data quality requires manual inspection after download.
• Scale: Row count is unknown, which may limit suitability assessment.
• Documentation: Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

Zuzanna Stępnicka

Collection Method

Systematic literature review following PRISMA 2020 guidelines.

Time Range

2015 to May 2025

Freshness

Last updated 2026-05-19 05:41:10; freshness should be verified.