Artificial intelligence is moving from the edges of healthcare into some of its most consequential environments. But as these tools become more capable, the most important question may not be what AI can do. It may be what role we want AI to play in care.

A recent AI-assisted brain tumor surgery in London offers a compelling example. Neurosurgeons at the National Hospital for Neurology and Neurosurgery used AI to analyze live surgical footage and help identify critical anatomy, including nerves and blood vessels that needed to be avoided. The surgical team remained in control throughout the procedure.

The story is exciting, but the bigger opportunity is to look beyond the technology itself. If AI is going to become part of clinical care, we need to think carefully about where machine intelligence can add value and where human expertise must remain at the center.

AI should augment expertise, not replace it

The most promising applications of AI in healthcare may not be the ones that try to replicate a physician. They may be the ones that give physicians a better view of the information in front of them.

In the London procedure, for example, the AI system helped identify tiny anatomical structures in real time. It was designed to recognize critical anatomy, surgical instruments, and tissue interactions, giving the surgical team another source of information during an exceptionally delicate procedure.

That distinction matters.

A surgeon brings years of training, experience, judgment, and an understanding of the individual patient. AI can process enormous amounts of information quickly and identify patterns that might otherwise be difficult to see. Those capabilities are different, but potentially complementary.
The goal shouldn't be to create a competition between human intelligence and artificial intelligence. It should be to understand where each can contribute most effectively.

That means asking practical questions before we deploy an AI tool:
What should AI be allowed to see?
What should AI be allowed to recommend?
Who makes the final decision?
What happens when AI sees something a human doesn't?
How do we build trust?
These aren't just technical questions. They're questions about trust, accountability, and the kind of healthcare experience we want to create.

AI 🤝 Human collaboration

The goal of AI in healthcare shouldn’t simply be to make care better, faster, cheaper. The goal should help physicians spend more time on what only humans can provide: judgment, connection, and compassion.

As these tools become more capable, we have an opportunity to use them to strengthen the human side of care, not replace it. Because at the center of every algorithm, scan, diagnosis, and procedure is still a person.

That is delivering care at the N of 1.

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