Recognizing and Mitigating Disparties
Artificial intelligence has the potential to transform orthodontics, but every algorithm is only as good as the data behind it. Questions around bias, transparency, fairness, and patient outcomes are becoming increasingly important as AI takes on a larger role in clinical decision-making.
This conversation explores where bias in orthodontic AI comes from, how it can influence treatment recommendations, and why responsible development matters just as much as technological progress. It also looks at the role of transparency, human oversight, and ethical leadership in creating systems that truly serve patients.
As AI continues to evolve, one question remains at the center of the discussion: how do we ensure innovation improves care for everyone, not just a select few?
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