Cutting-edge advances in artificial intelligence offer the promising potential to detect cancer at an earlier stage, which could revolutionize the way we diagnose this disease. A new study has raised many hopes for the role of AI in medicine.
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- Who was behind the study?
- What did the study say?
- Where was the study published?
- Why did AI help?
- How does the study was realized?
Who was behind the study?
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The study was authored by nine researchers and led by Solveig Hofvind, director of the Norwegian Breast Cancer Screening Program and professor of radiography at Oslo and the Faculty of Applied Sciences at Akershus University in Norway.
What did the study say?
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A novel study highlighted that artificial intelligence played a key role in predicting around a third of breast cancer cases up to two years before they were officially diagnosed. This has a huge impact on the serious effects of the disease on humans, reducing the chances of late diagnosis.
Where was the study published?
The groundbreaking study was published in the journal. Radiology last week, according The charge.
Why did AI help?
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Study findings revealed that more than 38% of cancers detected by screening and interval testing scored 10 for IA risk prior to breast cancer screening. For those who don’t know, interval cancers refer to those identified between regular mammograms.
For screening-detected cancers, where AI scores were accessible four years before diagnosis, 23% showed a high-risk score of 10.
Hofvind commented in an email to Fox News Digital“We were surprised by the results, which means that a substantial portion of cancers can be detected even earlier, since [of] today, resulting in less aggressive treatment and therefore fewer side effects. [effects] and late effects of treatment, [leading to] better life quality”.
How does the study was realized?
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The study analyzed imaging data and screening details derived from BreastScreen Norway examinations performed between January 2004 and December 2019.
According to the study, women who were subsequently diagnosed with breast cancer after these exams received an AI risk score from a “commercially available AI system.” The scoring system ranged from 1 to 7 for low-risk malignancy, 8 to 9 for intermediate risk, and 10 for high-risk malignancy.
The AI score, along with mammographic features such as calcifications and breast density, was assessed and analyzed in a complete set of 2,787 screening examinations involving 1,602 women, with an average age of 59 years.
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Source: vtt.edu.vn