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Pathological examination is the "gold standard" for cancer diagnosis. However, the lack of qualified pathologists and heavy workloads have always been considerable pathology. Traditionally, pathologists need to use the naked eye to analyze the pathological section under a microscope. Therefore, misdiagnosis of malignant lesions or abnormal cells is likely to occur due to visual fatigue, further influencing influence subsequent treatment recommendations. The Department of Pathology at Ruijin Hospital faces a workload of more than 3,000 cases/day, with yearly cases totaling 800,000 on average, and the workload is on the rise every year. Tens of thousands of slices screening tasks are assigned to each pathologist, laying a heavy burden on them.

By incorporating high-throughput digital pathology scanners and SenseCare Path AI solutions, SenseTime helps Ruijin Hospital digitalize and intelligentize the workflow of the pathology department. With a digital pathology scanner, physical pathology sections can be transformed into high-resolution digital data which is convenient for digital storage and management. Meanwhile, SenseCare Path could automatically complete AI calculation overnight via integrating with pathology scanners. Based on advanced deep learning technology, SenseCare Path automatically and precisely screens the benign and malignant slices, and provides accurate segmentation, localization, and classification for various lesions and abnormal cells.
With the assistance of AI, the whole diagnostic process has been shortened from the past 5 days to 2 days, so that pathologists can spare more time on analyzing complex cases. Meanwhile, SenseCare Path has been proven high accuracy that the sensitivity of malignant cases can reach up to 100%, and the negative detection rate exceeds 80%, so that pathologists can not only improve diagnosis efficiency and reduce workload, but also improve the diagnosis accuracy and reduce the possibility of misdiagnosis.