RAIT STUDY
Pulmonary Tuberculosis Prediction Using CAD4TB Artificial Intelligence (Computer-Aided Detection for Tuberculosis) Based on Thoracic X-Ray Photos among Indonesian Subjects
Background
The RAIT Study is an investigation that analyzes chest X-ray data of suspected TB patients using the AI software Computer-Aided Detection for Tuberculosis (CAD4TB), in collaboration with Delft Imaging System Netherlands. The analyzed data will be compared with expert interpretations from Radiologist specialists and confirmed by bacteriological examination results. The study aims to enhance the accuracy of early TB diagnosis using AI, enabling patients to receive optimal care.
Information
This study is a cross-sectional retrospective study, utilizing secondary data from chest X-ray images and laboratory data from bacteriological examinations of suspected tuberculosis patients from a multicenter medical cohort (Cipto Mangunkusumo National Central General Hospital and Persahabatan General Hospital).
Type of Study
Observational Study
Topic
Tuberculosis
Collaborator
Delft
