Abstract
Cervical cancer remains a leading cause of cancer death in women, seriously threatening their physical and mental health. It is an easily preventable cancer with early screening and diagnosis. Although technical advancements have significantly improved the early diagnosis of cervical cancer, accurate diagnosis remains difficult owing to various factors. In recent years, artificial intelligence (AI)-based medical diagnostic applications have been on the rise and have excellent applicability in the screening and diagnosis of cervical cancer. Their benefits include reduced time consumption, reduced need for professional and technical personnel, and no bias owing to subjective factors. We, thus, aimed to discuss how AI can be used in cervical cancer screening and diagnosis, particularly to improve the accuracy of early diagnosis. The application and challenges of using AI in the diagnosis and treatment of cervical cancer are also discussed.
Highlights
Cervical cancer is one of the most common malignancies in women, with 604,000 new cases and 342,000 deaths in 2020 [1]
It is the only cancer that can be eliminated via primary prevention strategies comprising a fully effective 9-valent human papillomavirus (HPV) vaccine, early detection, and timely treatment [2]
Screening strategies should be artificial intelligence (AI) in Cervical Cancer able to detect early lesions that may develop into cervical cancer, while avoiding the detection of transient HPV infections and benign abnormalities that can lead to overtreatment and other hazards associated with screening [5]
Summary
Cervical cancer is one of the most common malignancies in women, with 604,000 new cases and 342,000 deaths in 2020 [1]. It is the only cancer that can be eliminated via primary prevention strategies comprising a fully effective 9-valent human papillomavirus (HPV) vaccine, early detection, and timely treatment [2]. Screening and treatment of precancerous lesions in women is a cost-effective way to prevent cervical cancer [7]. Screening strategies should be AI in Cervical Cancer able to detect early lesions that may develop into cervical cancer, while avoiding the detection of transient HPV infections and benign abnormalities that can lead to overtreatment and other hazards associated with screening [5]. Colposcopy is defined as the use of a specific instrument to magnify the fully exposed cervix by 5 to 40 times for a real-time visual assessment of the cervix, especially the transformation area, for the detection of CIN or squamous intraepithelial lesion (SIL) and invasive cancer [23]. A colposcopy-guided biopsy of the suspected site is performed to determine whether further treatment, such as conization or cryotherapy, is needed, which is important in patients with high-grade CIN or more severe disease [24]
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