<p>Subgroup analysis of pooled sensitivity and specificity of AI-assisted diagnostic tools for schistosomiasis, subgroup by publication year, endemicity, AI model type, and country setting.</p>

<p>Univariable meta-regression and subgroup analyses evaluating the effect of study year, country setting, and AI model type on pooled sensitivity and specificity of AI-assisted diagnosis of schistosomiasis.</p>

Each point represents the pooled diagnostic performance estimate within the corresponding subgrou

<p>Forest plots of pooled sensitivity and specificity for AI-assisted diagnostic tools in detecting Schistosoma haematobium.</p>

The forest plots illustrate the diagnostic performance of AI-assisted tools across 15 included da

<p>Subgroup analysis by publication year category for prevalence of hepatitis B infection among people in Ethiopia.</p>

Subgroup analysis by publication year category for prevalence of hepatitis B infection among peop

<p>Performance by subgroup.</p>

<p>Forest plot of subgroup analysis.</p>

<p>Fagan nomogram for the clinical utility of AI-assisted diagnostic tools.</p>

The Fagan nomogram displays the relationship between the pre-test probability, likelihood ratios,