AI can be employed to enhance disease surveillance by processing data from various sources such as social media, healthcare records, and travel patterns. Natural language processing (NLP) algorithms can scan news articles, social media posts, and other text-based data to detect early signs of an outbreak. Additionally, AI can integrate data from wearable devices and mobile apps to monitor the health status of populations in real-time, providing early warnings of potential epidemics.
