ICU doctors are often required to analyse large volumes of complex, heterogeneous data to make life-critical decisions. Artificial Intelligence (AI), if used effectively, could reduce this burden by transforming data into more actionable information. We can use AI to predict adverse outcomes before they happen, better manage highly complex situations, and ultimately allow clinicians to spend less time analyzing data and more time harnessing their experience and human touch in delivering care. While AI may enable the development of accurate tools, their introduction must follow careful consideration of real-world clinical utility, efficiency and existing workflows. The use of AI should be appropriately weighted alongside other sources of information and should be validated by well-designed prospective studies before widespread implementation.

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