AI in Healthcare - How do we use it?

We use some cutting age artificial intelligence (AI) in our clinical practice.

I recently had the opportunity to speak with Medscape about the intersection of AI and medical education. One message stands out: good data in, good data out - a classic concept from data science and analytics that is crucial to understand for all that use AI in medicine.

As AI becomes more integrated into healthcare decision-making (soon to be the norm for much of the workforce), all clinicians must consider these important questions:

1. Does the AI's output make sense?
2. What data were used to form the prediction?
3. For which patients does the algorithm perform well?
4. Where is there a lack of data?

These questions remind us that AI is only as good as the data it is trained on. For AI to be truly effective and safe in healthcare, clinicians need to be equipped not just with the ability to trust AI outputs, but with the tools to critically assess them.