Diagnosis
AI outperforms breast density for breast cancer risk

An artificial intelligence model predicts five-year breast cancer risk more accurately than traditional breast density assessment, new research shows.
The image-only AI model, called Clairity Breast, showed that women in its high-risk group had more than a fourfold higher cancer incidence than those in the average-risk group (5.9 per cent vs 1.3 per cent).
Breast density, which refers to the amount of fibrous and glandular tissue compared to fatty tissue in the breast, has traditionally been used as one indicator of cancer risk. Dense breast tissue can both mask tumours and slightly increase cancer risk.
Researchers from Harvard Medical School and University Hospital RWTH Aachen in Germany tested the FDA-authorised AI model on 245,232 screening mammograms from US and European sites taken between 2011 and 2017.
The AI was trained on 421,499 mammograms from 27 facilities across Europe, South America and the US, learning to identify subtle tissue patterns that predict cancer development within five years. It uses a deep convolutional neural network (a pattern-recognition algorithm) to generate risk probabilities.
Traditional density assessment showed minimal difference in outcomes: 3.2 per cent for dense versus 2.7 per cent for non-dense breasts.
“Over two million women are diagnosed with breast cancer annually, and for most, it comes as a complete shock,” said Dr Constance D. Lehman, professor of radiology at Harvard Medical School. “Only 5 to 10 per cent of breast cancer cases are considered hereditary, and breast density alone is a very weak predictor of risk.”
The AI categorised risk using National Comprehensive Cancer Network thresholds: average (less than 1.7 per cent), intermediate (1.7-3.0 per cent) and high (greater than 3.0 per cent) five-year risk.
“The model is able to detect changes in the breast tissue that the human eye can’t see,” Dr Lehman explained. “This is a job that radiologists just can’t perform. It’s a separate task from detection and diagnosis, and it will open a whole new field of medicine, leveraging the power of AI and untapped information in the image.”
The findings have particular significance for younger women. While the American Cancer Society recommends optional annual screening from age 40 for average-risk women, those under 40 represent the fastest-growing group diagnosed with breast cancer and advanced disease.
“An AI image-based risk score can help us identify high-risk women more accurately than traditional methods and determine who may need screening at an earlier age,” Dr Lehman said. “We already screen some women in their 30s when they are clearly at high risk based on family history or genetics. In the future, a baseline mammogram at 30 could allow women with a high image-based risk score to join that earlier, more effective screening pathway.”
Dr Christiane Kuhl, director of the Department of Diagnostic and Interventional Radiology at University Hospital RWTH Aachen, who presented the findings, emphasised the clinical implications.
“The results of this large-scale analysis demonstrate that AI risk models provide far stronger and more precise risk stratification for five-year cancer prediction than breast density alone,” she said. “Our findings support the use of image-only AI as a complement to traditional markers supporting a more personalised approach to screening.”
Currently, 32 US states have breast density legislation requiring healthcare providers to inform women of their density status after screening mammograms. The researchers suggest this information could be enhanced with AI risk scores.
“We’d like to see women given information on their breast density and their AI image-based risk score,” Dr Lehman said. “We can do better than just looking at a mammogram and saying, ‘It is dense or not dense’ to inform women of their risk.”
The technology represents what its developers describe as a shift in breast cancer screening from population-based to personalised risk assessment, potentially enabling earlier intervention for high-risk women while reducing unnecessary procedures for those at lower risk.
Menopause
Menopause frequently missing from electronic health records – study

Menopause is often absent from women’s electronic health records, a study of nearly 396,000 women has found.
Researchers found menopause appeared almost seven times more often in participant surveys than in electronic health records (EHRs).
The findings suggest important reproductive health information, including age at menopause, may often be missing from health records used for research.
Audrey Hendricks, associate professor of bioinformatics at CU Anschutz and the study’s principal investigator, said: “Ultimately, we cannot study what we do not measure. We cannot treat what we do not know.
“Menopause has enormous implications for women’s health, but if we don’t consistently capture when menopause occurs and other important reproductive health information, we limit our ability to understand how this transition affects disease risk and health outcomes.”
Researchers at the University of Colorado Anschutz analysed data from women taking part in the National Institutes of Health’s All of Us Research Program.
They compared menopause information reported by participants in surveys with menopause diagnoses recorded in their electronic health records.
Around 193,000 menopause observations were identified in survey data, compared with approximately 28,000 diagnoses in EHR data.
Menopause was documented in electronic health records for only about 7 per cent of women in the dataset.
Nearly all participants with a menopause diagnosis recorded in their EHR also reported menopause in survey data. However, substantially fewer women had menopause documented in their health records.
Other important information was also frequently unavailable, including age at menopause, which researchers may use when examining links between menopause and chronic disease risk.
Menopause is a physiological transition that can affect cardiometabolic health and many other aspects of women’s health.
Researchers said relatively little is known about how factors including the timing and type of menopause influence health outcomes across diverse populations.
Large-scale programmes such as All of Us combine participant surveys, electronic health records and genomic data, but menopause-related research depends on relevant reproductive health information being available.
Missing menopause information can make it harder to investigate how the transition relates to health and disease.
The findings may also help researchers using All of Us data define menopause-related study populations, design studies and estimate how many participants are needed.
Hendricks said: “We have an enormous opportunity to use large-scale datasets to understand women’s health across the menopause transition and to identify who may be at greater risk for disease.
“But we need to make sure that the information researchers need is actually being collected.
“We must do a better job of capturing women’s health information, including reproductive health and measures related to menopause.”
Researchers said more complete and consistent collection of menopause and reproductive health information could help future studies examine factors such as age at menopause and their relationship with disease risk and health outcomes.
Diagnosis
FDA approves AstraZeneca breast cancer drug
Pregnancy
New universal heart attack definition could transform care for women
Entrepreneur2 weeks agoKOVE Medical raises €1.7 million to improve safety of foetal surgery
Pregnancy2 weeks agoUK study aims to transform maternity care for high-risk pregnancies
Pregnancy4 days agoParacetamol use may impact future fertility, studies suggest
Events1 week agoLast chance to save on Women’s Health Week and Women’s Sport Summit: Early Bird pricing ends 11 September
Menopause2 weeks agoMenopause hormone treatment may ease brain fog, study suggests
Menopause6 days agoCancer drug could tackle osteoporosis menopause weight gain
News2 weeks agoSpanish agency criticised for menopause guidelines based on male studies
Fertility2 weeks agoNHS IVF access review launched in Scotland













