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AI may help accelerate breast cancer diagnosis for high-risk women – study

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AI may help speed breast cancer diagnosis for high-risk women after abnormal mammograms, a study suggests.

Women with abnormal mammograms often wait weeks to learn whether they have breast cancer.

Researchers at UC San Francisco and UC Berkeley said an AI-guided workflow could help reduce that wait by quickly identifying those most likely to have the disease. Some women could move from imaging to evaluation, and sometimes biopsy, in a single day.

Dr Maggie Chung, first author of the study, said: “This is a really an exciting time.

“This moves us closer to personalised care, where we can tailor a plan so that each patient gets the right intervention at the right time.”

The study used an open-source AI model called Mirai.

The model was trained on hundreds of thousands of mammograms linked to patients’ cancer outcomes.

A mammogram is an X-ray scan of the breast used to look for signs of cancer. A biopsy involves taking a small tissue sample to test for disease.

The AI tool is designed to detect subtle patterns in screening mammograms and predict a woman’s cancer risk.

Researchers at UC San Francisco and UC Berkeley applied the model to more than 4,100 screening mammograms at Zuckerberg San Francisco General Hospital and Trauma Center.

Mirai identified 525 women, about 12.7 per cent of screened patients, as high risk.

Those patients could receive an interpretation of their mammograms immediately after the scan and have additional diagnostic imaging for suspicious areas on the same day.

Some women who needed biopsies were also able to have them on the same day.

The researchers said Mirai reduced the wait time for diagnostic evaluation from several weeks to about an hour.

For women who were ultimately diagnosed with breast cancer, it reduced the average wait for biopsy from more than two months to fewer than 10 days.

The researchers stressed that Mirai does not replace radiologists or make diagnoses on its own.

Instead, it acts as a triage tool to help physicians identify the patients who can benefit most from accelerated care.

The team analysed more than 114,000 archival mammograms before launching the programme, to ensure the model would capture enough high-risk patients without overloading the clinic with too many expedited evaluations.

The researchers said they hope AI will support a more personalised approach to breast cancer screening tailored to each patient’s breast cancer risk.

Chung said: “Right now, many women follow the same screening schedule but their individual risk can be very different.

“AI risk assessment gives us the chance to identify the women most likely to benefit from expedited care and get them what they need.”

Adam Yala, senior author of the study and a data scientist at UC Berkeley, said: “This is a powerful example of how AI can be a collaborative partner for physicians.

“It shows how we can improve care when we bring clinicians and data scientists together to design these systems.”

Features

Gender gap in treatment persists even when men and women have same condition

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Women with the same medical conditions as men were less likely to receive the same treatment across several specialties, a global research review found.

The review found differences in care for conditions including cardiovascular disease, kidney disease and Parkinson’s, with women less likely to receive some active treatments.

Of 38 studies analysed, 33 found women were less likely than men to be offered active treatment.

Researchers at the University of St Andrews found women with myocardial infarction, heart failure or an irregular heartbeat were more likely to receive medication, while men were more likely to undergo coronary bypass surgery, stenting or other surgical treatment.

Women were also less likely to be prescribed statins.

Men with Parkinson’s were more likely to be referred for deep brain stimulation.

Men with liver failure were more likely to receive a transplant, while women with kidney disease requiring dialysis were less likely to receive permanent access and spent longer using a catheter.

Women were also less likely to receive opioids for pain management.

The researchers found no significant difference between women and men in treatment for stroke or diabetes, while women were more likely to receive treatment for dementia.

None of the studies identified clinical guidelines recommending different treatment based on sex.

Researchers said this suggested the differences could not be explained by the need for different clinical approaches to women’s health.

Dr Andrew O’Malley, who co-led the study, said: “For clinicians, the findings are a prompt to check whether treatment is being offered on clinical grounds rather than assumption.”

He said studies showed doctors more often attributed women’s symptoms to anxiety and made more diagnostic errors with female patients, even when test results were positive.

Dr Miriam Veenhuizen, honorary lecturer in the School of Medicine at St Andrews, said: “While the direction of the findings was not a surprise, the consistency was. The same pattern appeared in cardiology, surgery, transplant medicine and emergency care, and it survived statistical adjustment in most studies.”

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Menopause

Menopause frequently missing from electronic health records – study

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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.

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Diagnosis

FDA approves AstraZeneca breast cancer drug

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The FDA has granted accelerated approval to AstraZeneca drug Etcamah for certain adults with advanced breast cancer carrying an ESR1 mutation.

Etcamah, also known as camizestrant, was approved in combination with a CDK4/6 inhibitor, either abemaciclib, palbociclib or ribociclib.

The treatment is for adults with hormone receptor-positive, HER2-negative, locally advanced or metastatic breast cancer when an estrogen receptor-1 (ESR1) mutation is detected during aromatase inhibitor and CDK4/6 inhibitor therapy using an FDA-authorised test.

ESR1 mutations are acquired resistance mutations that tumours may develop during treatment with aromatase inhibitors, a type of endocrine therapy commonly used as a front-line treatment for locally advanced or metastatic breast cancer.

Fewer than 5 per cent of patients have the mutation when HR-positive metastatic breast cancer is diagnosed, according to the FDA. After disease progression on an aromatase inhibitor, nearly 40 per cent have the mutation.

Acting FDA commissioner Kyle Diamantas said: “Women living with metastatic breast cancer face an uphill battle as their tumors continuously evolve to escape treatment.

“We owe them every weapon in our arsenal.

“Today’s approval delivers a win to these patients by granting them a targeted therapy designed specifically to overcome resistance, giving them more time before their disease progresses.”

The accelerated approval programme allows earlier approval of drugs that treat serious conditions and fill an unmet medical need based on surrogate or intermediate endpoints.

For Etcamah, approval was based on how long patients lived without their disease worsening, measured from when the resistance mutation was first detected in their blood.

The FDA said it has not yet been confirmed whether intervening when the mutation is detected, rather than waiting until disease progression is confirmed, results in a clinically meaningful benefit. Confirmatory studies are therefore required to verify and describe clinical benefit.

Angelo de Claro, director of the FDA’s Oncology Center of Excellence, said: “I commend both the FDA and the sponsor for their commitment to advancing cancer care and securing this accelerated approval.

“This marks the first FDA approval of a cancer therapy guided by the detection of a resistance mutation in circulating tumor DNA (ctDNA) before imaging tests show that the disease is progressing.

“But additional evidence is needed to confirm clinical benefit.”

Circulating tumour DNA, or ctDNA, consists of small pieces of tumour DNA released into the blood and can allow earlier molecular detection of resistance mutations.

The FDA also authorised the Guardant360 CDx assay as a companion diagnostic to identify patients with breast cancer who have ESR1 mutations for treatment with camizestrant.

Efficacy was assessed in a clinical trial comparing a switch to Etcamah plus a CDK4/6 inhibitor with continued treatment using an aromatase inhibitor plus a CDK4/6 inhibitor.

Estimated median progression-free survival was 16 months in the Etcamah group, compared with 9.2 months in the aromatase inhibitor group.

Etcamah’s prescribing information includes a boxed warning about the risk of irregular heart rhythm when taken with certain other medicines. It also includes warnings about an abnormally slow heart rate and potential harm to an unborn baby.

The FDA convened its Oncologic Drugs Advisory Committee for the application on 30 April 2026.

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