Screening

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Article • Point-of-care diagnostics

Improving women’s health in remote regions with digital pathology

Point-of-care diagnostics based on a combination of mobile-sized scanners and artificial intelligence (AI) are helping save the lives of women in low-resource settings. The AI technique is being applied in Kenya and Tanzania to deliver screening for cervical cancer – now the leading cause of cancer-related deaths in women in that region and a bigger cause of death than childbirth.

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Article • AI is key

Lung cancer screening initiatives across Europe

Artificial Intelligence will be a critical component in ensuring a Europe-wide lung cancer screening programme can achieve its potential, according to speakers at a special ECR 2024 session. Delegates heard that the SOLACE project (Strengthening the screening of Lung Cancer in Europe) will be supported by AI in terms of workflow, diagnostics, and image and data analysis.

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Article • Additional findings from the MIPA study

Benefits of preoperative breast MRI

Ordering preoperative breast MRI exams of diagnosed breast cancer patients used to be controversial: Did they aid surgical planning better than the combination of mammography and breast ultrasound? Or did their findings cause overtreatment, specifically mastectomy, when breast-conservation surgery would have sufficed? New research has now settled the issue.

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Article • Imaging controversial

MRI breast cancer screening of high-risk women: benefits outweigh drawbacks

Breast MRI is increasingly being used as a primary breast cancer screening exam for young women. It brings benefits in women with dense breasts, who are at an elevated risk of developing breast cancer. The technique is also being ordered as a supplemental screening exam following mammography or breast ultrasound for women of all ages at high risk. But use of breast MRI as a screening tool is…

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Article • Digital breast tomosynthesis

Transforming breast screening: The role of AI in improving reading workflow

While having more centers adopt digital breast tomosynthesis (DBT) for breast cancer screenings into their practice is a positive change, it also presents some challenges for radiologists—particularly the increased number of images for radiologists to review. This challenge has paved the way for AI to offer innovative workflow solutions for radiologists that do not sacrifice accuracy.

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