New York, June 7 (Ians) Artificial Intelligence (AI) algorithms can outperform the standard clinical risk model for predicting the five-year risk for breast cancer according to a large study of thousands of mammograms.
A woman’s risk of breast cancer is typically calculated using clinical models such as the Breast Cancer Surveillance Consortium (Bcsc) risk model, which uses self-reported and other information on the patient — including age, family history of the disease, whether she has given birth, and whether she has dense breasts — to calculate a risk score.
The study, published in the journal Radiology, showed that AI could make strong predictive performance over a five-year period.
AI was also able to identify both missed cancers and breast tissue features that help predict future cancer development.
“Something in mammograms allows us to track breast cancer risk. This is the ‘black box’ of AI,” said lead researcher Vignesh A. Arasu, a research...
A woman’s risk of breast cancer is typically calculated using clinical models such as the Breast Cancer Surveillance Consortium (Bcsc) risk model, which uses self-reported and other information on the patient — including age, family history of the disease, whether she has given birth, and whether she has dense breasts — to calculate a risk score.
The study, published in the journal Radiology, showed that AI could make strong predictive performance over a five-year period.
AI was also able to identify both missed cancers and breast tissue features that help predict future cancer development.
“Something in mammograms allows us to track breast cancer risk. This is the ‘black box’ of AI,” said lead researcher Vignesh A. Arasu, a research...
- 6/7/2023
- by Agency News Desk
- GlamSham
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