Few healthcare AI models introduced in the medical literature during the present AI research boom can be used in actual patient care.

A co-founder of Google’s AI business DeepMind has been placed on leave following controversy over some of his projects, Bloomberg reported.

While the loudest buzz around AI in healthcare continues to emanate from clinical and research quarters, an easily overlooked subpopulation is watching with keen interest: hospital supply-chain executives and the vendor reps who call on them.

Machine learning algorithms can comb population-level patient databases to find individuals who might benefit by treatment for depression.

Machine learning is no better than physicians at predicting acute kidney injury (AKI) in the ICU, where it’s a sign of poor outcomes ahead as soon as it appears. However, the AI approach can help mitigate physicians’ tendency to overestimate risks and overtreat low-risk patients.

AI and other emerging technologies are soon to turn traditional nurses into information integrators. But nurses should be assured that technology will support their profession, not replace it.