Most AI in healthcare has been predictive—diagnosing, suggesting, or analyzing data. But a new wave of agentic AI is here. Unlike older models, these systems can reason, plan, and update their thinking as new information arrives.
What makes them different?
Ask clarifying questions about patient symptoms
Explore multiple diagnoses instead of one
Suggest treatments based on medical history
Adjust recommendations in real time
Hospitals are already testing these systems in controlled pilots. Early results show diagnostic alignment with human doctors in 81% of cases, and even outperforming clinicians in some scenarios.
⚠️ Of course, big questions remain: trust, bias, and accountability.
👉 For the full breakdown—including use cases, challenges, and the future of AI doctors—check out the complete article here:
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