This is the first time in the world that this tool has been clinically validated.
Artificial intelligence is not just for Generate images And textIt is also increasingly useful in the field of medicine. A recent study by the Curie Institute showed that an algorithm was able to detect the tumor severity of several types of breast cancer.
2.2 million new cases each year
As the Curie Institute points out statmentBreast cancer is most common in women with more than 2.2 million new cases each year. It is therefore essential to obtain faster and more accurate diagnoses to improve patients’ chances of survival.
It is for this purpose that the algorithm was created to help doctors and avoid diagnostic errors: “Due to the increase in the incidence of breast cancer in general and the decrease in the number of pathologists, the workload of pathology departments has increased significantly, Curie Institute explains. So there is a growing need for automated solutions and decision support tools. »
More than 50 identifiable breast features
So Ibex Medical Analytics, an AI cancer diagnostic company, created Galen Breast to diagnose breast biopsies. Using deep learning methods, the algorithm was able to train on hundreds of thousands of images to identify more than 50 specific breast characteristics.
During the study, the AI analyzed more than 400 biopsies and the results were compared to the diagnoses made by two breast pathologists. The results showed that the AI was very accurate, accurately distinguishing several types of tumors, including rare ones. ” I had the pleasure of participating in the study and validation of new innovations that will reshape our profession for years to come, said Stuart Schnitt, MD, chief of breast oncology at the Dana-Farber/Brigham and Gynecologic Oncology Center and co-author of the study. I look forward to seeing more applications of AI in routine clinical use as they prove their clinical validity. »
