Learning Resources

AI in healthcare is evolving fast, and so is the research on what makes it safe. Keeping up matters. For example, a recent study published in Nature Medicine found that people using AI chatbots to identify their health problems could do so correctly only about a third of the time. Researchers from Oxford University concluded that despite scoring well on medical licensing exams, AI chatbots give patients wrong diagnoses and fail to recognize when urgent help is needed. One in six American adults now asks AI chatbots about health information at least once a month.

Meanwhile, a Reuters investigation revealed that AI-powered medical devices are causing real harm in operating rooms. Since machine learning was added to one surgical navigation system, the FDA received over 100 reports of malfunctions and adverse events, including strokes, punctured skulls, and cerebrospinal fluid leaks. The number of FDA-authorized AI medical devices has doubled to over 1,350, and researchers found that AI-enhanced devices are being recalled at twice the rate of traditional medical equipment.

The problem is not artificial intelligence itself. The problem is AI deployed without proper safeguards, without physician oversight, and without the explainability required for clinical decision-making.

Our clinical AI is backed by internationally awarded patents designed to prevent AI hallucinations and ensure every finding is traceable to peer-reviewed evidence.