Cervical cancer is considered to be one of the leading causes of cancer death in women, affecting more than half a million women annually. Tests such as the Pap smear or the HPV test have become the gold standard for early-stage detection, though these screenings can be both expensive and labor intensive. However, a new study shows that use of artificial intelligence imaging techniques can significantly improve the accuracy and efficiency of cervical cancer screenings and diagnosis for women.