As the rush toward AI in healthcare continues, explainability is crucial

Artificial intelligence is seeing a massive amount of interest in healthcare, with scores of hospitals and health systems already have deployed the technology – more often than not on the administrative side – to great success.

But success with AI in the healthcare setting – especially on the clinical side – can't happen without addressing the growing concerns around models' transparency and explainability. 

In a field where decisions can mean life or death, being able to understand and trust AI decisions isn't just a technical need – it's an ethical must.
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