Agentic AI in care is experimental
A scoping review published in npj Digital Medicine explores the emerging role of Agentic Artificial Intelligence (AI) in healthcare. Unlike traditional tools, Agentic AI systems operate autonomously to achieve clinical goals. Researchers identified seven eligible studies across oncology, radiology, and rehabilitation. While results were promising—with some systems achieving high 94.1% accuracy in cancer diagnosis—most remain experimental. Only one trial involved patients.
These systems show promise by acting purposefully and working together, but they need more clear definitions and real-world proof before being widely used. There’s a strong call for clear rules and safety checks. While Agentic AI could greatly improve how we work and make decisions, the field is still new. To use it safely in healthcare, we need more testing, ethical rules, and solutions for technology and privacy issues.
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