Do you worry your clinical laboratory is falling behind in the race to adopt artificial intelligence (AI) technologies? Every day, labs are inundated with media and marketing messages about artificial AI and its potential to transform laboratory medicine. How can laboratories look past the urgency of this messaging to determine which—if any—AI solutions are a good fit for their needs?

In a new white paper, “Navigating AI in the Clinical Laboratory: Key Considerations,” experts from ARUP Laboratories offer actionable advice for labs as they begin to explore AI-augmented diagnostic solutions. The white paper addresses how to define AI use cases, select AI vendors, evaluate AI models, and assess information technology (IT) infrastructure needs. “Everybody’s really excited about artificial in

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