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Study data published in Nature Medicine suggest that artificial intelligence (AI) improves skin cancer diagnostic accuracy when used in collaboration with clinical checks, as reported Outlook India on Monday.
"This is important because AI decision support has slowly started to infiltrate healthcare settings, and yet few studies have tested its performance in the real world settings or how clinicians interact with it," said researcher Monika Janda.
The researchers trained and tested an artificial convolutional neural network to analyse pigmented skin lesions, and compared the findings with those from human evaluations on three types of AI-based decision support.
The highest diagnostic accuracy was achieved when crowd wisdom and AI predictions were combined.
According to the researchers, inexperienced evaluators gained the highest benefit from AI decision support, while expert evaluators confident in skin cancer diagnosis achieved modest or no benefit.
"Our study found that good quality AI support was useful to clinicians but needed to be simple, and in accordance with a given task," Janda said, adding that "for clinicians of the future, this means that AI-based screening and diagnosis might soon be available to support them on a daily basis."
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