The AI-powered lab streamlined the process by processing the specimen, scanning the slides, and uploading them to the 5G cloud platform.
Free cervical cancer screenings are being provided to 10,000 Pakistani women by the joint Pakistan-China Artificial Intelligence (AI) clinical diagnosis lab, which has its headquarters at the Akbar Niazi Teaching Hospital in Islamabad.
The project manager from Landing Med, a Chinese medical technology company that supplied three cervical cancer screenings devices along with 5,000 sets of supporting consumable items to Pakistan last December for the lab’s construction, said that it could also be used in the early diagnosis of other high-incidence clinical tumours, such as breast cancer, gastric cancer, oral cancer, etc.
The AI-powered lab streamlined the process by processing the specimen, scanning the slides, and uploading them to the 5G cloud platform.
In contrast to a conventional clinical procedure, where patients must visit the hospital multiple times for specimen collection, report analysis, and treatment, the AI-powered lab reduced the number of patient visits.
Once the data has been uploaded, a Chinese medical team can make a diagnosis remotely and produce a report in about five minutes. The service is currently being made accessible to the local population, and it has been demonstrated to be fast and dependable for hospital personnel following a trial diagnosis.
The China-Pakistan AI Cervical Cancer Screening Program was established during the ninth meeting of the Joint Cooperation Committee for the China-Pakistan Economic Corridor (CPEC) in 2019.
In Pakistan, the Ministry of National Health Services Regulations and Coordination (NHSRC) is also debating the idea of outfitting additional hospitals with the same AI technology.
After head and neck and breast cancers, cervical cancer has become the third most common cancer in Pakistan. Of the women who have this cancer, 64 percent pass away because they don’t get treated until the disease has advanced to the third or fourth stages of the disease, when it is almost always fatal.