What is Causality?
When one thing (the cause) leads to another (the effect).
Causality describes why things happen and how factors shape outcomes. This differs from correlation, where two things change independently from each other.
What is Causal AI?
Artificial intelligence designed to untangle complex causal relationships.
This differs from traditional AI, which mostly finds patterns and connections in data. Causal AI digs deeper to figure out what drives outcomes. This means it doesn’t just spot links — it understands why things happen.
Why Healthcare needs causal AI?
Health mechanisms are incredibly complex.
Outcomes are dependent on intertwined factors like genetics, lifestyle, environment, and treatment plans which interact in complex ways. Understanding why outcomes occur can allow us to make smarter, more personalised decisions, develop better treatments, and save lives.