09 Radiologists’ and Ultrasound Artificial Intelligence Decision-Support Assessment of Benign and Malignant Cystic Breast Lesions - CancerNetwork
A new study finds that AI decision-support tools enhance radiologists' ability to distinguish between benign and malignant cystic breast lesions.
- AI decision-support tools improve radiologists' accuracy in diagnosing breast cancer
- The AI tool uses ultrasound images to assess the likelihood of benign or malignant cystic breast lesions
- The study found improved accuracy with AI-assisted diagnosis compared to radiologists working alone
Researchers have developed an AI decision-support tool to aid radiologists in diagnosing breast cancer. The tool uses ultrasound images to assess the likelihood of benign or malignant cystic breast lesions. In a recent study, the AI-assisted diagnosis showed improved accuracy compared to radiologists working alone. This breakthrough has significant implications for breast cancer diagnosis and treatment.
This breakthrough has significant implications for breast cancer diagnosis and treatment.
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