Artificial intelligence techniques like deep learning and reinforcement learning are getting increasingly advanced and capable of helping people with a wide range of complex tasks.

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Artificial intelligence (AI) tools trained to detect pneumonia on chest X-rays suffered significant decreases in performance when tested on data from outside health systems, according to a study conducted at the Icahn School of Medicine at Mount and published in a special issue of PLOS Medicine on machine learning and health care. These findings suggest that artificial intelligence in the medical space must be carefully tested for performance across a wide range of populations; otherwise, the deep learning models may not perform as accurately as expected.

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If you're thinking about adopting artificial intelligence as an ally in your security operations center, the following questions and considerations can be helpful to guide your decision-making.