Despite the remarkable advances in cancer diagnosis, treatment, and management over the
past decade, malignant tumors remain a major public health problem. Further progress in …

Low-cost optical imaging technologies have the potential to reduce inequalities in health
care by improving the detection of precancer or early cancer and enabling more effective …

Novel screening and diagnostic tests based on artificial intelligence (AI) image recognition
algorithms are proliferating. Some initial reports claim outstanding accuracy followed by …

Background: The HPV-automated visual evaluation (PAVE) Study is an extensive,
multinational initiative designed to advance cervical cancer prevention in resource …

Background WHO has recommended HPV testing for cervical screening where it is practical
and affordable. If used, it is important to both clarify and implement the clinical management …

Cancer continues to affect underserved populations disproportionately. Novel optical
imaging technologies, which can provide rapid, non-invasive, and accurate cancer detection …

A number of challenges hinder artificial intelligence (AI) models from effective clinical
translation. Foremost among these challenges is the lack of generalizability, which is …

Background Cervical cancer, a severe threat to women's health, is experiencing a global
increase in incidence, notably among younger demographics. With artificial intelligence (AI) …

Methods Colposcopy images taken 56 seconds after acetic acid application were processed
by a cervix detection algorithm to identify the cervical region. We optimized models based on …

One-dose prophylactic HPV vaccination of pre-adolescents may reduce cervical cancer
deaths dramatically in lower-resource settings, but the benefits of achieving immediate high …