AI identifies precancerous cervix better than human experts, report says
UPI Health News (Business)
A new artificial intelligence method could be key for future diagnosis of cervical cancer.
The algorithm, developed by researchers at the
"Our findings show that a deep learning algorithm can use images collected during routine cervical cancer screening to identify precancerous changes that, if left untreated, may develop into cancer,"
The researchers created the algorithm using more than 60,000 cervical images from an NCI archive of photos collected as part of a cervical cancer screening study conducted in
The deep learning algorithm diagnosis was compared to images from patients that had already been diagnosed during the
The current human eye method to diagnose cervical precancer relies on a health worker to dilute acetic acid to the cervix and then examine it for "aceto whitening," an indicator of possible disease. This naked eye method remains popular due to how inexpensive and convenient it is. But it needs tweaking due to its inaccuracies, researchers say.
The new method allows health workers to examine a cervix with a cell phone or other camera device.
According to the
"When this algorithm is combined with advances in HPV vaccination, emerging HPV detection technologies, and improvements in treatment, it is conceivable that cervical cancer could be brought under control, even in low-resource settings," said