AI-Assisted Schistosomiasis Diagnostic Tool Performance by Subgroup

Sisay Desale's dataset provides a subgroup analysis of pooled sensitivity and specificity for AI-assisted diagnostic tools targeting schistosomiasis. The analysis subgroups data by publication year, endemicity, AI model type, and country setting. The dataset was last updated on May 5, 2026, and is shared under a CC-BY-4.0 license.

Use Cases

• Compare the diagnostic performance of different AI model types for schistosomiasis detection based on the subgroup analysis.
• Assess how diagnostic accuracy varies between endemic and non-endemic country settings based on the subgroup analysis.
• Analyze trends in the sensitivity and specificity of AI tools over publication years based on the subgroup analysis.

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• Analysis includes multiple subgroup dimensions: publication year, endemicity, AI model type, and country setting.

Limitations

• Dataset is very small at 5.5 KB, indicating limited scope.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

Sisay Desale via figshare

Collection Method

Subgroup analysis of pooled data from multiple studies.

Freshness

Last updated 2026-05-05 17:36:49; freshness should be verified.