Algorithms are currently used to assist in a wide array of health care decisions. Despite the general utility of these health care algorithms, there is growing recognition that they may lead to ...

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The duel is age-old: on one side, cold, methodical and exhaustive ‘calculation’; on the other, the decision-maker’s dazzling intuition, that often indefinable ‘flair’. Since the advent of Big Data ...

Predictive modeling by tumor type: Comparing performance and feature importance of machine learning–based predictive models in patients with hematologic and solid tumors. This is an ASCO Meeting ...

More experience in a given situation tends to make us feel we are getting better at making decisions. As we gain expertise, our judgments get quicker, too. But quick doesn’t always mean accurate. So, ...

As the use of artificial intelligence has spread rapidly throughout the US health care system, concerns have been raised about racial and ethnic biases built into the algorithms that often guide ...