The algorithm will consult us now. Please sit down and bring your data!

▤ Summary

This article argues that AI in healthcare is neither a miracle nor a catastrophe, but a tool that amplifies the strengths and weaknesses of the system around it. It highlights real uses such as triage, radiology support, sepsis prediction, and clinical documentation, while warning that biased models can worsen inequity at scale. It also emphasizes that AI should support clinicians rather than replace them, especially in settings where human judgment, supervision, and patient trust matter. The piece concludes that healthcare organizations need validation, independent auditing, transparency, and continuous oversight before relying on these systems.

▦ Linked Companies