In a study presented on Monday at the SIIM Conference on Machine Intelligence in Medical Imaging in San Francisco, Stanford University doctors showed that eight radiologists interacting through Unanimous AI’s “swarm intelligence” technology were better at diagnosing pneumonia from chest X-rays than individual doctors or a machine-learning program alone.
Delegating therapy to a machine is the ultimate gesture of faith in technocracy: we are inclined to believe that AI can be better at sorting out our feelings because, ostensibly, it doesn’t have any of its own. Except that it does – the feelings it learns from us, humans.
Feeding electronic health record data to a deep learning model could substantially improve the accuracy of projected outcomes. In trials using data from two U.S. hospitals, researchers were able to show that these algorithms could predict a patient’s length of stay and time of discharge, but also the time of death.
The old story of AI is about human brains working against silicon brains. The new story of IA will be about human brains working with silicon brains. As it turns out, most of the world is the opposite of a chess game: Non-zero-sum — both players can win.
A new kind of doctor has entered the exam room, but doesn’t have a name. In fact, these doctors don’t even have faces. Artificial intelligence has made its way into hospitals around the world. Those wary of a robot takeover have nothing to fear; the introduction of AI into health care is not necessarily about … Continue reading Your future doctor may not be human.
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