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Over many, many years, we have done everything we can possibly do to be able to anticipate and answer [clinicians'] questions and then to answer them at or near the point of care with the best possible information we could, written by absolute experts in the field, Bonis said. They understand the intersection of evidence, real world patient care, the fact that there isn't a randomized study for everything, and they have judgment," Bonis said of the models' trainers. "How can we make that transparent and bring that to the surface in such a way that you're sharing that judgment and that way of thinking of things from really a world expert, so that everyone has access to it?" "There's an issue of automaticity, which is what the FDA is very interested and concerned about, in that [the AI model] is so efficient in giving you a response that you don't engage in that response adequately to really think through it, and you take action without paying a due consideration," Bonis said."