Artificial intelligence (AI) mimics human cognitive function and is “trained” on large amounts of data. Among its many applications are aiding in clinical decisions, supporting human judgment and increasing treatment efficiency. Through feedback, AI also “learns” and becomes increasingly effective. Challenges in this area include “garbage in garbage out” – the AI can only be as good as the quality of data it’s trained on, which could include human and historical bias.

On the micro level, AI can prevent disease, produce more accurate diagnoses and achieve better patient outcomes in an individual. On the macro level, AI can predict and track the spread of epidemics and pandemics, playing a crucial role in public health.

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