AI beats expert doctors at finding cervical pre-cancers, giving hope to millions of women worldwide
- Cervical cancer is the fourth most frequent cancer among women and killed 266,000 people in 2012
- Previously, advances in the fight have benefited women from wealthier countries, but the new screening method is cheap and 91 per cent accurate
Artificial intelligence may be poised to wipe out cervical cancer, after a recent study showed computer algorithms can detect precancerous lesions far better than trained experts or conventional screening tests.
According to the World Health Organisation, cervical cancer is the fourth most frequent cancer in women with an estimated 570,000 new cases globally in 2018.
Despite major advances in screening and vaccination – which can prevent the spread of human papillomavirus, which causes most cases of cervical cancer – those gains have mainly benefited women in rich nations.
Some 266,000 women died of cervical cancer globally in 2012, 90 per cent of them in low- and middle-income nations, according to the WHO.
“Cervical cancer is now a disease of poverty, of low resources,” said senior author Mark Schiffman, a doctor at the National Cancer Institute’s Division of Cancer Epidemiology and Genetics near Washington who has been searching for a cure for cervical cancer for 35 years.