Problem: Chest radiography is a crucial tool for diagnosing thoracic disorders. but interpretation errors and a lack of qualified practitioners can cause delays in treatment. Aim: This study aimed to develop a reliable multi-classification artificial intelligence (AI) tool to improve the accuracy and efficiency of chest radiograph diagnosis. Methods: We developed a convolutional neura... https://www.chiggate.com/