After go-live health systems must monitor AI tools for clinical outcomes, model drift, bias, and patient safety to ensure sustained impact.

Flipping a switch is easy. What happens after is where AI deployments can come apart. Mark Mabus, MD, chief medical informatics officer at Parkview Health — a nonprofit system spanning Northeast ...

Wearable sensors may help identify people with multiple sclerosis (MS) who are more likely to have worsening disability and ...

Around 60 per cent of Canadian employees can expect their job to be transformed through artificial intelligence (AI). For many, AI will complement, rather than replace, their work. For some, it could ...

The DNA foundation model Evo 2 has been published in the journal Nature. Trained on the DNA of over 100,000 species across ...