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Artificial Intelligence-driven Tuberculosis Landscape Analysis & Stratification Research
Sponsor: Huashan Hospital
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 that every patient receives the most effective, personalized care possible.
Key Details
Gender
All
Age Range
Any - Any
Study Type
OBSERVATIONAL
Enrollment
31600
Start Date
2026-06-01
Completion Date
2028-06-30
Last Updated
2026-05-28
Healthy Volunteers
No
Locations (2)
Hunan Chest Hospital
Changsha, Hunan, China
Huashan Hospital Affiliated to Fudan University
Shanghai, China