Artificial Intelligence (AI) is an emerging topic in society today. AI can simply be defined as the theory and development of computer systems able to perform tasks that typically require human intelligence. Most importantly, AI can be used in healthcare around the world. AI can be used in the early detection of epidemics and overcome the challenges faced by weak health systems. AI can detect epidemic signals much earlier than traditional disease surveillance. AI systems such as ProMED-mail, HealthMap, BlueDot, Metabiota, and EPIWATCH can be used to constantly monitor areas for emerging diseases. AI has aided public health delivery via spatial modeling, risk prevention, misinformation control, public health surveillance, disease forecasting, pandemic/epidemic modeling, and health diagnosis. In addition, Blockchain can be paired with AI to allow for faster, more efficient analysis and communication of information. Blockchain and AI can be used to analyze outbreaks, detect and analyze diseases, develop vaccines, and predict future outbreaks. Blockchain enhances AI’s epidemic control capabilities by ensuring secure, tamper-proof data sharing between healthcare organizations, enabling real-time analysis of disease spread. AI can analyze Blockchain medical information and then distribute that information to clinical labs, hospitals, network operations, social media, and patients. Blockchain works alongside AI to address challenges like data accuracy, privacy, and communication in epidemic management. It makes it an ideal way to record information on how many people are affected by a disease, communicate that information, and then take action to stop the spread. Integrating AI and Blockchain can lead to earlier disease detection, faster outbreak responses, and improved resource allocation to strengthen global epidemic preparedness.
Predict, Prevent, Protect: AI's Role in Epidemic Control
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Student Abstract Submission