Solution of intelligent auxiliary diagnosis of cervical cytology
Bingli Technology cooperates exclusively with an LBP and Tencent AI LAB in research and developmen.
Highly sensitive LSIL + 99.5%
Highly sensitive HSIL + 100%
The negative excretion rate of diagnosed cases was more than 65%
More than 90% of physical examination screening has negative excretion specificity
Cervical cancer cytology AI; Immunohistochemical AI; Lymph node staging AI; Prostate AI; Hepatocellular carcinoma region recognition AI
After multiple algorithm verification, 20 image visual fields were screened out, and doctors only observed the visual fields recommended by the algorithm to determine the pathological diagnosis results.
Since 2021, it has received third-party tests from 16 medical centers, including sedimentation and membrane tests. Samples are recent hospital diagnostic pathological retrospective tests or difficult case tests.
The test results:
Sensitivity LSIL +: 99.2 ~ 100%
Sensitivity HSIL +: 100%
Sensitivity ASCUS +: > 96.7%
The specificity (negative excretion rate) was 68.7%~92%
Product characteristics:
Intelligent process of pathology department
The iteration of intelligent algorithms is constantly improving
High throughput fast automatic scanning
Generate standardized reports with one click
Rapid identification of the whole article to reduce missed diagnosis
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