Working closely with clinicians and hospitals, we develop AI tools for researchers, doctors, nurses and patients. This “reality-centric” approach to AI is the focus of the lab I lead at Cambridge University. But what if AI tools were designed specifically for real-world medicine – with all its organisational, scientific, and economic complexity? So far, AI technologies have had little impact on the messy, inherently human world of medicine. AI tends not to work well in the real world. ![]() Yet the idea that intelligent computers could simply replace humans in medicine is a fantasy. Īrtificial intelligence (AI) is often glibly posed as the answer for services that are already forced to do more with less. Meanwhile, growing demand for social care is compounding funding pressure and making the allocation of resources even more complicated. These new treatments tend to be costly, while new approaches can be hard to introduce into healthcare systems that are either resistant to change or fatigued by too much of it. ![]() This will only get worse as chronic conditions grow in prevalence and we discover new ways to treat previously fatal diseases. From the soaring costs of US healthcare to the recurrent NHS crisis, it can often seem that effective and affordable healthcare is impossible.
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