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Large language models and GPT may not be the apocalyptic nightmare some critics fear, but they certainly require due diligence by thought leaders, health care professionals, and the general public, wrote John Halamka, MD, and Paul Serrato. “We need a framework to manage them responsively.”
Does the industry really need another set of guidelines for implementing AI in healthcare? Yes, said Dr. John Halamka, noting that the latest publication from CHAI offers “a holistic approach to assessments of AI-based clinical systems for health systems, consumers, and end users,” he wrote in a recent piece, along with Paul Cerrato.
Without the proper controls in place, AI-enabled algorithms can do more harm than good, according to researchers from Mayo Clinic Platform. In this piece, they explore how the new NIST framework can help leaders more accurately assess AI trustworthiness, explainability, and bias.
Forget the bells and whistles; artificial intelligence should be about “trying to meet people in the trenches with business solutions that solve problems,” said our panelists, who discussed the keys to buy-in with AI and ML, the pitfalls to avoid, and why the people piece is so critical.
The more the industry moves toward a participatory medicine model – one in which patients and providers work together as collaborators instead of customers and vendors – the better outcomes patients can achieve, according to Mayo Clinic researchers John Halamka, MD, and Paul Cerrato.
