[Application Test of the AI-Automatic Diagnostic System for Ki-67 in Breast Cancer].
Yang Deng, Fengling Li, Hang-Yu Qin, Yanyan Zhou, Qi-Qi Zhou, Juan Mei, Li Li, Honghong Liu, Yi-Zhe Wang, Hong Bu, Ji Bao · PubMed · 2021
OBJECTIVE: To study the different methods of artificial intelligence (AI)-assisted Ki-67 scoring of clinical invasive ductal carcinoma (IDC) of the breast and to compare the results. METHODS: ) was used to evaluate the correlation. RESULTS: values showed that there was little difference between the results of the two AI counting methods, indicating good repeatability, but the repeatability between AI counting and manual counting was not particularly ideal. CONCLUSION: AI automatic counting has the advantage of requiring less manpower, for the pathologist is involved only for the verification of the diagnosis results at the end. However, the semi-automatic method is better suited to the diagnostic habits of pathologists and has a shorter turn-over time compared with that of the fully automatic AI counting method. Furthermore, in spite of its higher repeatability, AI counting, cannot serve as a full substitute for pathologists, but should instead be viewed as a powerful auxiliary tool.