AI Use in Behavioral Analysis of Invertebrate Model Organisms: 2015-2025 Review

97 eligible studies published between 2015 and May 2025 were analyzed in this systematic review. The review maps the application of artificial intelligence methods, including machine learning and deep learning, for automated behavioral analysis of invertebrate and larval organisms like Drosophila melanogaster and Caenorhabditis elegans. It was authored by Zuzanna Stępnicka and published on figshare in May 2026.

Use Cases

• Benchmark AI methods for behavioral analysis based on the review of model architectures and evaluation metrics.
• Identify trends in AI adoption for specific organisms like D. melanogaster and zebrafish larvae based on the publication analysis.
• Design standardized reporting frameworks for behavioral studies based on the identified gaps in input data and preprocessing documentation.
• Select appropriate AI models for classification or clustering tasks in behavioral research based on the review of supervised and unsupervised learning applications.

Strengths

• Follows PRISMA 2020 guidelines for systematic review methodology.
• Analyzes 97 studies, showing a steep increase from 2 in 2015 to 97 by mid-2025.
• Identifies the most frequently studied organisms and dominant AI techniques since 2021.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is 36.7 KB, indicating a limited scope likely containing summary tables rather than raw study data.

Provenance

Source

figshare

Collection Method

Systematic literature review screened according to PRISMA 2020 guidelines.

Time Range

2015 to May 2025

Freshness

Last updated 2026-05-19 05:41:12; freshness should be verified

Geography

Studies primarily originated from the USA, China, and Germany.