How AI is Supporting the National TB Screening in Singapore

Dr Tay Jun Yang, Consultant, National Centre for Infectious Diseases and Head of National Tuberculosis Screening Centre, Singapore, shares their experience using AI to support tuberculosis screening in clinical practice. In this conversation, he discusses how AI can analyse chest X-rays within minutes, support clinical decision-making before the formal radiology report is available, and highlight subtle abnormalities that may warrant further investigation. He also shares some insight into rigorous validation on the local patient population and integration into existing clinical workflows, to continuous performance monitoring and clinician feedback. Most importantly, he reminds that the goal is not to replace clinicians or radiologists. It is to provide an additional layer of decision support that can help clinicians make more informed decisions and identify patients who may require further testing. #RadiologyAI #Tuberculosis #ChestXray #ClinicalAI #HealthcareAI #CARPLai