Executive Summary Emerging infectious diseases, pandemics, antimicrobial resistance, and climate-sensitive health threats have underscored the urgent need for stronger disease surveillance systems worldwide. Traditional surveillance systems often rely on delayed reporting, manual data aggregation, and fragmented data sources, which limit early detection and timely response. Artificial Intelligence (AI) offers transformative potential to enhance disease surveillance... [Read More]