Automated analysis of digital medical images in cervical cancer screening: A systematic review.

A systematic review was conducted to summarize the use of automated technology systems in cervical cancer screening. The review found that researchers have been developing low-cost portable devices and automating image analysis to address the barriers of implementation in low- and middle-income countries (LMICs). The study identified 17 studies that reported algorithms developed with source images from mobile devices and 56 studies that reported algorithms with source images from conventional/commercial acquisition devices. The review concluded that computer aided diagnostics (CAD) showed superior prediction performance compared to manual analysis, and highlighted the need for adequate clinical validation of novel devices with CAD in LMICs. [Extracted from the article]