When tested separately on more than 44,700 completed ultrasound exams, the tool improved radiologists' ability to correctly identify the disease by 37%, according to the study. 'Its future impact on improving women's breast health could be profound,' Moy said in an NYU Langone news release. She is a professor at NYU and member of the Perlmutter Cancer Center. 'If our efforts to use machine learning as a triaging tool for ultrasound studies prove successful, ultrasound could become a more effective tool in breast cancer screening, especially as an alternative to mammography, and for those with dense breast tissue,' said Moy. Linda Moy, a radiologist, suggested the AI tool could be a game-changer. All diagnoses were double-checked against tissue biopsy results.

With the aid of the artificial intelligence (AI) model, their accuracy increased to 96%. In a review of 663 breast exams, 10 radiologists produced accurate readings 92% of the time. The researchers used those ultrasounds to create a computer program and train it to spot patterns among thousands of images.Īnd the study found it did a better job than professional radiologists. 24 in the journal Nature Communications - included nearly 289,000 ultrasound exams of 143,200 women treated between 20 at NYU Langone hospitals in New York City. He is an assistant professor of radiology at NYU Grossman School of Medicine in New York City and a member of the Perlmutter Cancer Center.Ībout 13% of women in the United States will be diagnosed with breast cancer in their lifetime, including 300,000 this year, according to the American Cancer Society. 'Our study demonstrates how artificial intelligence can help radiologists reading breast ultrasound exams to reveal only those that show real signs of breast cancer, and to avoid verification by biopsy in cases that turn out to be benign,' said researcher Krzysztof Geras.

24, 2021 (HealthDay News) - An artificial intelligence tool could help radiologists spot breast cancer on ultrasound images and reduce the need for extra testing, new research suggests.

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