Despite promise, framework needed to introduce more AI in healthcare, study says

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The opportunities artificial intelligence and machine learning can provide in healthcare settings are promising, but key framework and guidelines are missing, potentially limiting the reach of the technology, according to a study published Jan. 10.

The study, published in Nature, was conducted by researchers who reviewed 72 published papers on AI in healthcare.

Researchers pieced together sets of guidance and framework as it related to different phases of development, evaluation and implementation of AI-based health tech. 

However, the study also identified gaps that hinder the promise of AI. One key question that doesn't have a clear answer in the literature: Which medical problems will benefit from the use and implementation of AI technology? 

The researchers also recommend that "much more guidance is needed addressing how to integrate the AI predictive models into the current healthcare or clinical workflow." Other areas that could benefit from guidance, according to the study: cost-effectiveness of technology long-term maintenance of systems. 

Read the full study here

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