Cervical cancer is a leading cause of cancer mortality, with approximately 90% of the
250,000 deaths per year occurring in low-and middle-income countries (LMIC). Secondary
prevention with cervical screening involves detecting and treating precursor lesions;
however, scaling screening efforts in LMIC has been hampered by infrastructure and cost
constraints. Recent work has supported the development of an artificial intelligence (AI)
pipeline on digital images of the cervix to achieve an accurate and reliable diagnosis of …

… Our work addresses these concerns of reliability and clinical translatability. We 288 …
development of “automated visual evaluation” for cervical cancer screening: The promise
and challenges in adapting deep-learning for clinical testing. Int J Cancer [Internet]. 2022
Mar 1 [cited 2022 Nov 13];150(5):741–52. Available from: https://onlinelibrary.wiley.com/doi/full/10.1002/ijc.33879
52. …