The news: Consumers are cautiously optimistic about artificial intelligence (AI) being used in health and medicine, according to a recent survey from Pew Research Center.
Digging into the data: Pew’s research revealed findings around patients’ comfort levels with AI being used for clinical purposes, the tech’s ability to reduce medical errors and improve health outcomes, and more.
Here are our most relevant takeaways:
AI in clinical practice today: Radiology is the most common use case for clinical AI today. The tech can analyze x-rays and CT scans, helping radiologists quickly and accurately identify abnormalities.
Healthcare stakeholders are also experimenting with AI’s role in detecting disease and identifying at-risk patients.
Our take: Most consumers aren’t privy to how AI is used in healthcare since it’s typically behind the scenes like in radiology departments. Yet Pew’s survey shows that nearly 4 in 10 consumers still say they’re comfortable with the tech being used to diagnose disease and offer treatment recommendations. We see that as encouraging—especially when supported by the data point of most patients wanting AI to help with cancer screenings.
Healthcare organizations must be careful not to move too quickly and overpromise AI’s ability. If they do, consumers will become less trustful and less comfortable.
This article originally appeared in Insider Intelligence's Digital Health Briefing—a daily recap of top stories reshaping the healthcare industry. Subscribe to have more hard-hitting takeaways delivered to your inbox daily.