It outperformed the Breast Cancer Surveillance Consortium, the typical risk assessment method.
“Clinical risk models depend on gathering information from different sources, which isn’t always available or collected. Recent advances in AI deep learning provide us with the ability to extract hundreds to thousands of additional mammographic features,” said Arasu in an
The five-year study period was divided into three time periods: “interval cancer risk, or incident cancers diagnosed between 0 and 1 years; future cancer risk, or incident cancers diagnosed from between one and five years; and all cancer risk, or incident cancers diagnosed between 0 and 5 years.”algorithms. The risk scores were then compared to the BCSC clinical risk score and with each AI model.
Patients with a high risk of interval cancer were accurately predicted by some of the AI algorithms. AI predicted up to 28 percent of cancers when evaluating women at the highest risk, whereas the BCSC's scored 21 percent.
México Últimas Noticias, México Titulares
Similar News:También puedes leer noticias similares a ésta que hemos recopilado de otras fuentes de noticias.
AI can help improve breast cancer risk predictions, study findsA new study is showing yet another way artificial intelligence is entering the medical field. This time, researchers found AI algorithms improved on existing practices for predicting breast cancer risk.
Leer más »
Shortage of common cancer-fighting drugs adding new stress to cancer diagnosisThe drugs in short supply include the two main choices for treating breast cancer, which is the most common type of cancer.
Leer más »
Moderna and Merck Cancer Vaccine Used With Keytruda Reduces Risk of Deadly Skin Cancer SpreadingMelanoma is responsible for the large majority of skin cancer deaths, according to the American Cancer Society.
Leer más »
This Rare Genetic Condition Leads to Cancer After Cancer🔄FROM THE ARCHIVE: People with Li-Fraumeni syndrome are susceptible to developing multiple types of early onset cancer. Researchers are working to find a way to make life easier for these patients.
Leer más »
Loneliness could be deadly for cancer patients: American Cancer SocietyA new study suggests a link between loneliness and survival rates.
Leer más »
AI predicts 5-year breast cancer risk better than standard tools — but we aren't sure how it worksArtificial intelligence models can use breast imaging data to pinpoint those at highest risk of getting breast cancer in the next five years, better than a standard approach.
Leer más »