The strategic collaboration aims to offer an AI algorithm to guide cytologists and pathologists to efficiently and effectively identify evidence of cervical cancer and precancer using whole-slide imaging.
Franklin Lakes, New Jersey-based BD said in a news release that the agreement allows it to deliver a complete solution to reduce the potential for human error and enable greater throughput. This helps labs achieve results with greater standardization, reproducibility and efficiency from a Pap test.
Traditional Pap tests take a sample from a patient and place it on a glass slide evaluated using a microscope. A digital cervical cytology system enables the scanning of the samples. Then comes a review on a computer mo…