U.S., May 29 -- ClinicalTrials.gov registry received information related to the study (NCT07611695) titled 'Artificial Intelligence-driven Tuberculosis Landscape Analysis & Stratification Research' on April 23.
Brief Summary: The goal of this observational study is to establish and validate a comprehensive AI-driven clinical decision support system (AI-CDSS) in whole-chain management for pulmonary tuberculosis (TB) patients. The main question it aims to answer is:
How is the predictive performance of this system in terms of multiple key links during TB diagnosis and treatment? Can real-world benefits be derived from this system? This AI framework supports clinicians in making smarter decisions, ultimately improving cure rates and ensuring...