About this Webinar:
Artificial intelligence is transforming lung health diagnostics, boosting the detection of diseases such as silicosis and tuberculosis (TB). A recent study found that among individuals with high CAD4TB scores but no bacteriologically confirmed TB, 46.7% had non-TB abnormalities detected on digital chest X-rays. How can we leverage these innovations to improve occupational health outcomes?
Join experts as they discuss the importance of evidence-based innovations, focusing on the role of chest X-ray and AI in lung health detection.
Our keynote speakers:
- “Ancillary findings in TB screening with chest radiography” by Prof. Dr. Bram van Ginneken, Radboud University Medical Center, Netherlands
- “CAD in Silicosis screening: Moving beyond accuracy to adoption” by Prof Rodney Ehrlich, Senior Research Scholar from the Division of Occupational Medicine, University of Cape Town, South Africa
- “Ubumi Bwandi Pantanshi: Screening for more than TB” by Prof Helen Ayles, Professor of Infectious Dosease and International Health at the London School of Hygiene and Tropical Medicine, University of London, Director of Zambart
- “Establishing trust in emerging AI technologies” by Edwin Klinkenberg, Technical Physician
Simultaneous interpretation is available for our Arabic, Urdu, French, Russian and Spanish-speaking audience. You can watch the full playlist here.
