Artificial intelligence enhances the diagnosis and treatment prediction of PdTB in resource-constrained settings. The integration of artificial intelligence with existing diagnostic tools like GeneXpert and telemedicine strategies can significantly improve the efficiency of screening processes. Future research efforts should prioritize the expansion of pediatric datasets and the evaluation of multimodal AI-PdTB approaches.
Artificial intelligence and diagnosis and management of tuberculosis disease in children
Declan Ikechukwu Emegano·Berna Uzun·Oyibo Saidu Silas·Dilber Uzun Ozsahin·Chinonye Lynda Emegano·İlker Özsahin·Emeje Paul Isaac
