AI Breast Cancer Detection Can Predict 10-year Risk of Dying

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Screening for breast cancer is extremely important but not without its difficulties. While it does lower the number of deaths caused by breast cancer, it also occasionally finds abnormalities that are not hazardous. This phenomenon is known as “overdiagnosis,” and it results in wasteful therapies. A new model, though, is ready to change that. It has been created by a group of researchers from the University of Oxford. This model is able to accurately forecast a woman’s risk of having breast cancer within the next ten years, as well as her likelihood of passing away from the disease.

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This is an important new study that potentially offers a new approach to screening. Risk-based strategies could offer a better balance of benefits and harms in breast cancer screening, enabling more personalized information for women to help improve decision-making. Risk-based approaches can also help make more efficient use of health service resources by targeting interventions to those most likely to benefit, stated Professor Julia Hippisley-Cox, Professor of General Practice and Epidemiology and senior author from the Nuffield Department of Primary Care Health Sciences at the University of Oxford.

The new model that was built by the scientists is able to accurately estimate a woman’s 10-year cumulative risk of having breast cancer and later dying from the disease. The screening process might be made better if it were possible to determine which women are in the greatest danger of developing fatal malignancies. Treatments that aim to prevent the development of breast cancer may also be explored for use in women who have an increased risk of getting a fatal form of the disease.

This study, which was just released today (August 29) in the journal Lancet Digital Health, investigated data that was kept anonymous from 11.6 million female participants of 20 to 90 years old from the years 2000 to 2020. There was not a record of breast cancer or the precancerous disease known as ductal carcinoma in situ, or DCIS, in any of these women’s families.

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