Part V: Beyond the Algorithm, What Needs to Change in Medicine for AI to Actually Help
AI can’t fix healthcare if the system stays broken. We need cultural, institutional, and human change to make tech truly trustable and finally equitable.
By now, the promises and perils of AI in healthcare are clear.
We’ve seen how biased data can reinforce misdiagnosis.
We’ve seen how opaque systems can erase patient voice.
We’ve seen that models often miss exactly what the medical system has always missed because they were trained on its blind spots.
But this series isn’t about giving up.
It’s about looking deeper.
Because the question was never just “Can AI help?”
It’s “What kind of healthcare system are we building and for whom?”
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