Chayanika

Artificial Intelligence-Based Multimodal Detection of Pulmonary Tuberculosis Using Chest X-ray Images and Routine Laboratory Findings: A Machine Learning Study

Fusing radiological and hematological information through a multimodal deep learning pipeline substantially improves automated PTB screening performance relative to single-modality models and may serve as a low-cost, scalable triage tool in high-burden settings, pending prospective multi-center validation.