Since the traditional pathology department requires a comprehensive examination and analysis of the entire pathological section under a microscope, it is very easy to cause malignant lesions and abnormal cells caused by visual fatigue; at the same time, doctors need to quantitatively analyze the pathology and perform various types of cells According to the quantitative estimation, the huge workload is very likely to indirectly cause the error of subjective factors to affect the follow-up treatment.

Taking the pathology department of a hospital as an example, the patient’s daily physical examination, screening, and follow-up will produce about 3,000 pathological slices (an average of more than 800,000 slices per year), and the trend is increasing every year. However, Ruijin Hospital has rich qualifications and experience. The number of senior pathologists is very small, of which only more than 10 are resident doctors, and the other 10 are advanced training doctors and regular doctors. The average person has to undertake tens of thousands of film reading tasks each year, and the workload is extremely heavy.

The SemistarCare intelligent pathology independently developed by Shengyao Technology can process image data in large quantities and quickly through artificial intelligence algorithms, helping traditional pathology to carry out digital transformation, for example, for the interpretation of gastrointestinal pathology diagnosis and TCT cervical liquid-based cell screening. Smart AI replaces. Nowadays, the prepared pathological slices can be scanned in batches at night, and the digital slices will be uploaded to the SemistarCare digital pathology platform for storage and data management as soon as possible, followed by the SemistarCare Pathology Digest Gastrointestinal Pathology Accurate Analysis System and SemistarCare Pathology TCT Cervical Cancer TCT The AI ​​deep machine learning technology of the precision analysis system quickly performs specimen analysis, super-resolution digital pathological slices, prompts the benign and malignant slices, and automatically judges the type and distinguishing type of cancer, providing diagnosis assistance and learning samples for younger doctors It also helps senior doctors to spare more time to focus on diagnosing more complicated cases.

At present, we have been able to detect a variety of common gastrointestinal tumors and a variety of high-risk cervical abnormal cells. The detection rate of high-risk cases is as high as 100%. This greatly shortens the time required for pathologists to read pictures by at least 60%. 5 days was shortened to 2, 3 days. With the assistance of intelligent AI, pathologists can not only improve diagnosis efficiency and accuracy, but also reduce mechanical work, improve the reporting cycle of the pathology department, and help the department achieve cost reduction and efficiency.