Artificial Intelligence Helps Doctors Detect Breast Cancer Better
NORTH CAROLINA, UNITED STATES, JUL 7 – Artificial intelligence boosts radiologist efficiency by automating routine tasks and increasing diagnostic accuracy, helping reduce burnout amid growing scan volumes, studies show.
- A recent Radiology study found AI automates routine tasks, boosting efficiency and reducing radiologist burnout at the reading station.
- Mounting scan volumes, case complexity, and administrative tasks prompted research into radiologist burnout, highlighting workload and stress factors.
- Analysis shows AI tools that detect and measure pathologies save time and decrease burnout, while high negative predictive values boost radiologists' confidence in normal cases.
- Support from AI improves patient care and sustains workflows amid increasing radiology demand.
- Wider AI adoption aims to alleviate workflow challenges and sustain the radiology workforce amid rising patient volumes.
41 Articles
41 Articles
Robust Bi-CBMSegNet framework for advancing breast mass segmentation in mammography with a dual module encoder-decoder approach
Breast cancer is a prevalent disease affecting millions of women worldwide, and early screening can significantly reduce mortality rates. Mammograms are widely used for screening, but manual readings can lead to misdiagnosis. Computer-assisted diagnosis can help physicians make faster, more accurate judgments, which benefits patients. However, segmenting and classifying breast masses in mammograms is challenging due to their similar shapes to th…
AI helps radiologists keep an eye on breast cancer detection
Radiologists who used artificial intelligence (AI) to assist in reading mammograms were able to devote more attention to suspicious areas, according to a recent study published in the journal Radiology. Nurse provides assistance to a patient undergoing a mammogram. Credit: Tom Werner / DigitalVision / Getty Images Plus. A mammogram is an X-ray of the breast that can be used to detect abnormalities. These breast screenings are one of the most ef…
Artificial intelligence enhances radiologists’ accuracy in breast cancer detection
Artificial intelligence (AI) improves breast cancer detection accuracy for radiologists when reading screening mammograms, helping them devote more of their attention to suspicious areas, according to a study published today in Radiology, a journal of the Radiological Society of North America.

Artificial intelligence helps doctors detect breast cancer better
Researchers found that AI improves breast cancer detection accuracy for radiologists.
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