It's already crept into so many aspects of everyday life, from powering digital assistants like Siri and Alexa to personalizing entertainment choices on streaming services. Now artificial intelligence is poised to revolutionize key aspects of how doctors practice medicine and the ways in which patients are diagnosed and treated.
Artificial intelligence is poised to revolutionize key aspects of how doctors practice medicine and the ways in which patients are diagnosed and treated. TORONTO -- It's already crept into so many aspects of everyday life, from powering digital assistants like Siri and Alexa to personalizing entertainment choices on streaming services like Netflix to driving the development of autonomous vehicles.
An example is using an AI system to assess photos of skin lesions to determine if they're cancerous. And if so, what kind of cancer? Not only can AI/machine-learning systems free up clinicians from tedious, time-consuming tasks, they also aren't subject to conditions that can lead to human error. However, some worry that artificial intelligence will erode the role of physicians, nurses and other providers, potentially at a cost to patient care, a position that both these proponents of the technology strongly dispute.
The idea is to treat drug development in the same way as the discipline of engineering, with proven constructs, says Frey, instead of a scattergun approach of trying out numerous chemical compounds with the hope of hitting on an effective medication. Once machines outstrip human capabilities in certain forms of diagnostics and treatment options, there will be pressure on the health-care system to adopt AI decisions as the standard of care, he predicts, adding that doctors and hospitals who haven't adopted such systems might fall short of that standard -- potentially opening themselves up to medical malpractice suits.
"Some of the dangers are around the loss of knowledge that's potential to humans and another set of the dangers is what happens when we can't connect to what the machine is doing and then we can't foresee and try to prevent mistakes that the machines might make."
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