Cancer
AI-human task-sharing could cut mammography screening costs by up to 30 per cent

The most effective way to harness the power of AI when screening for breast cancer may be through collaboration with human radiologists — not by wholesale replacing them, says new research.
The study finds that a “delegation” strategy, where AI helps triage low-risk mammograms and flags higher-risk cases for closer inspection by human radiologists, could reduce screening costs by as much as 30 per cent without compromising patient safety.
The findings could help shape how hospitals and clinics integrate AI into their diagnostic workflows amid a growing demand for early breast cancer detection and a shortage of radiologists, said Mehmet Eren Ahsen, a professor of business administration and Deloitte Scholar at University of Illinois Urbana-Champaign.
“We often hear the question: Can AI replace this or that profession?” Ahsen said. “In this case, our research shows that the answer is ‘Not exactly, but it can certainly help.’ We found that the real value of AI comes not from replacing humans, but from helping them via strategic task-sharing.”
The study, which was published by the journal Nature Communications, was co-written by Mehmet U. S. Ayvaci and Radha Mookerjee of the University of Texas at Dallas; and Gustavo Stolovitzky of the NYU Grossman School of Medicine and NYU Langone Health.
The researchers developed a decision model to compare three decision-making strategies in breast cancer screening: an expert-alone strategy — the current clinical norm in which radiologists read every mammogram; an automation strategy, in which AI assessed all mammograms without human oversight; and a delegation strategy, in which AI performed an initial screening and referred ambiguous or high-risk cases to radiologists.
The model accounted for a wide range of costs, including implementation, radiologist time, follow-up procedures and potential litigation. It evaluated outcomes using real-world data from a global AI crowdsourcing challenge for mammography, which was sponsored as part of the White House Office of Science and Technology Policy’s Cancer Moonshot initiative of 2016 to 17.
The researchers found that the delegation model outperformed both the full automation and the expert-alone approaches, yielding up to 30.1 per cent in cost savings, according to the paper.
While the idea of fully automating radiological tasks may seem appealing from an efficiency standpoint, the study cautions that current AI systems still fall short of replacing human judgment in complex or borderline cases.
“AI is excellent at identifying low-risk mammograms that are relatively straightforward and easy to interpret,” said Ahsen, also the health innovation professor at the Carle Illinois College of Medicine.
“But for high-risk or ambiguous cases, radiologists still outperform AI. The delegation strategy leverages this strength: AI streamlines the workload, and humans focus on the toughest cases.”
With nearly 40 million mammograms performed annually in the U.S. alone, breast cancer screening is a critical public health tool. Yet the process is time-intensive and costly, in both labor and follow-up procedures triggered by false positives. And when cancers are missed, the resulting false negatives can lead to significant harm for patients and health care providers, Ahsen said.
“One of the issues in mammography is, because of the sheer number of screenings performed, that it generates so many false positives and false negatives,” Ahsen said. “If you have a 10% false positive rate out of 40 million mammograms per year, that’s four million women who are being recalled to the hospital for more appointments, screenings and tests, and potentially biopsies.”
That whole process only increases stress and anxiety for the patient, Ahsen said.
“It’s a nightmare scenario,” he said. “Follow-up appointments often take weeks, leaving patients with a black cloud hanging over their heads. It’s a very stressful time for them.”
With AI and the delegation model, it’s possible that health care providers could streamline the process.
“You get screened, AI sees something it doesn’t like and immediately flags you for follow-up, all while you’re still at the hospital,” Ahsen said. “It has the potential to be that much more efficient of a workflow.”
The research also raises broader questions about how AI should be implemented and regulated in medicine.
“The delegation strategy works best when breast cancer prevalence is either low or moderate,” Ahsen said.
“In high-prevalence populations, a greater reliance on human experts may still be warranted. But an AI-heavy strategy also might work well in situations where there aren’t a lot of radiologists – in developing countries, for example.”
Another potential landmine involves legal liability. If AI systems are held to stricter liability standards than human clinicians, then “health care organisations may shy away from automation strategies involving AI, even when they are cost-effective,” Ahsen said.
The findings are potentially applicable to other areas of medicine such as pathology and dermatology, where diagnostic accuracy is critical, but AI is potentially able to improve workflow efficiency.
With the infinite work capacity of AI, “we can use it 24/7, and it doesn’t need to take a coffee break,” Ahsen said.
“AI is only going to continue to make inroads into health care, and our framework can guide hospitals, insurers, policymakers and health care practitioners in making evidence-based decisions about AI integration.
“We’re not just interrogating what AI can do – we’re asking if it should do it, and when, how and under what conditions it should be deployed as a tool to help humans.”
Cancer
Postpartum breast cancers may be biologically more aggressive, new study finds

Breast cancer diagnosed within three years of childbirth, especially the first year, may be biologically more aggressive, a study suggests.
The findings add to evidence that postpartum breast cancer may be a distinct form of the disease.
They also suggest the period of greatest biological risk may occur earlier than previously thought.
The study was led by investigators at the UCLA Health Jonsson Comprehensive Cancer Center.
Dr Nimmi Kapoor, associate professor of surgery at the David Geffen School of Medicine at UCLA and senior author of the study, said: “We’ve long recognised that breast cancers diagnosed after pregnancy can behave differently, but we haven’t known when that increased risk is biologically strongest.
“Our findings suggest that the first one to three years after childbirth represent an important window when some tumours may have more aggressive characteristics.”
Breast cancer rates among younger women have been rising, and scientists have been investigating whether women having their first child later may help explain some of the trend.
Pregnancy causes major changes in breast tissue. Previous studies have found that cancers diagnosed soon after childbirth are more likely to have aggressive features and worse outcomes.
Researchers have not agreed on how long the period of increased risk lasts. Some studies define postpartum breast cancer as occurring within one or two years of delivery, while others extend the period to five or even 10 years.
To better define the period of risk, the team studied whether tumour biology varied according to the time since a woman’s most recent childbirth.
The study involved 385 women aged 45 or younger with early-stage, hormone receptor-positive and HER2-negative breast cancer who were treated at UCLA between 2011 and 2024.
Hormone receptor-positive cancers grow in response to hormones such as oestrogen or progesterone. HER2-negative cancers do not have unusually high levels of a protein that can promote tumour growth.
Each tumour had been assessed using the Oncotype DX Breast Recurrence Score, a genomic test that measures the activity of 21 genes linked to the risk of cancer returning and the potential benefit of chemotherapy.
Researchers grouped the women according to the time between their last childbirth and breast cancer diagnosis.
They compared women who had never given birth with those diagnosed at different intervals after childbirth.
The team then examined whether recurrence scores and other tumour features differed between the groups and whether any patterns remained after accounting for factors including age and lymph node status.
Women diagnosed within the first year after childbirth had significantly higher recurrence scores than those who had never given birth.
This suggested biological features associated with a higher risk of the cancer returning.
Scores were also higher, but to a lesser extent, among women diagnosed during the second and third years after delivery.
Women diagnosed within three years of childbirth were nearly three times more likely to fall into a higher recurrence score category than women who had never given birth.
They were also more likely to have higher-grade tumours, meaning their cancer cells appeared more abnormal and potentially more aggressive under a microscope.
Women diagnosed more than three years after childbirth did not show the same consistent increase in recurrence scores.
The findings also suggest that standard clinical measures, including tumour size and whether the cancer has reached the lymph nodes, may not fully capture the differences in this group.
Gene expression testing appeared to identify biological risk that was not always reflected in routine examination of tumour tissue.
The researchers said reproductive history could therefore provide additional context when genomic test results are interpreted in younger patients.
Despite the more aggressive genetic features, women diagnosed within three years of childbirth did not have significantly worse short-term outcomes.
After about four years of follow-up, recurrence and survival rates were similar to those among other patients in the study.
Researchers said one possible explanation was that women with higher-risk tumours received more intensive treatment, including chemotherapy, ovarian function suppression and newer targeted therapies.
The findings also suggest that aggressive tumour biology does not necessarily lead to worse short-term outcomes when patients receive effective treatment.
The researchers said larger studies involving several institutions and longer follow-up periods are needed to confirm the findings.
They added that postpartum status may need greater consideration when breast cancer is assessed and treated in younger women.
Kapoor said: “Our findings suggest that the years immediately following childbirth represent a unique biological window for some breast cancers.
“Understanding why these tumours behave differently may help us better identify patients who need closer monitoring or more tailored treatment approaches.”
Wellness
Alcohol and smoking linked to breast cancer and irregular heartbeat in women, study finds

Smoking and alcohol were linked to breast cancer and irregular heartbeat in women aged 55 and over, a global analysis suggests.
Breast cancer and atrial fibrillation or flutter represent a growing global health burden, but the reasons for similar rates in some regions are not well understood.
Atrial fibrillation, also known as AFib, is an irregular heartbeat.
Study co-author Dr Shu Wang, director of the Breast Disease Center at Peking University People’s Hospital, said: “Identifying shared risk factors is important for developing interventions that support optimal health, such as smoking cessation and alcohol restriction, which could potentially reduce the global incidence of breast cancer and atrial fibrillation/flutter substantially.”
Researchers examined rates of breast cancer and atrial fibrillation or flutter among women aged 55 and over in 204 countries and territories.
They assessed exposure to 58 shared and distinct health, behavioural and lifestyle risk factors, including smoking, alcohol use, body mass index and physical activity.
The analysis found that 80 of 202 countries and territories, around 39 per cent, had similar rates of both conditions.
Breast cancer was the dominant condition in 65 countries, while atrial fibrillation or flutter was dominant in 57.
After accounting for multiple variables, smoking and alcohol use were linked to higher rates of both breast cancer and atrial fibrillation or flutter.
A further analysis estimated that reducing alcohol intake and smoking could potentially cut breast cancer risk by around 15 per cent and atrial fibrillation or flutter risk by about 12 per cent worldwide.
Alcohol use was estimated to contribute to 9.27 per cent of breast cancer cases and 7.57 per cent of atrial fibrillation or flutter cases.
High-income and developed countries, including the US, Canada, Australia, New Zealand and much of Europe, had elevated rates of both conditions.
The findings were consistent with previous research linking Western diets and sedentary lifestyles to greater risks of cardiovascular and metabolic conditions and cancer.
Wang said: “One of the most surprising aspects of our findings was how common both breast cancer and atrial fibrillation/flutter diagnoses were among women ages 55 and older in high-income regions, which highlights the influence of lifestyle.
“This is the first study combining global data with machine learning to show the relationship between the conditions, their location across the world and the shared risk factors of these two conditions.”
The highest-risk areas were mostly in Western countries, where exposure to smoking and alcohol was greater than in Eastern regions.
Researchers said the pattern could reflect lifestyle, social and community differences. Western countries were also more likely to have higher body mass index, sedentary lifestyles and greater exposure to Western diets.
Study co-authors Dr Zeye Liu and Dr Yi Shi said: “Nowadays, more and more people are paying attention to the link between cancer and cardiovascular health.
“Breast cancer and atrial fibrillation/flutter rise together across many regions of the world and share the same modifiable risk factors.
“From a cardiovascular perspective, this means that reducing smoking and alcohol use could help lower the risk of both conditions at the same time.”
Dr Laxmi Mehta, chair of the American Heart Association’s Council on Clinical Cardiology, was not involved in the research.
She said: “Many of the same modifiable factors, including smoking, alcohol use, poor diet, physical inactivity and obesity, contribute to both breast cancer and cardiovascular disease including atrial fibrillation/flutter, as confirmed by this study’s findings.
“This overlap underscores the importance of integrated lifestyle strategies to reduce risk of cardiovascular disease and cancer. The American Heart Association’s Life’s Essential 8 highlights key behaviours and health factors essential for prevention and reducing risk.”
The researchers created global risk maps that could help healthcare professionals and policymakers develop prevention strategies tailored to different regions.
They plan to add long-term research and genetic, metabolic and socioeconomic data to future analyses.
The study used information from the Global Burden of Disease 2021 database.
Machine learning was used to examine global patterns, links between the two conditions and risk factors specific to different regions. Machine learning uses computer systems to identify patterns in large amounts of data.
The research was based on national-level information and did not include data about individual patients, meaning it cannot prove cause and effect.
Differences in screening, healthcare resources, data collection and definitions between countries may also have affected the results.
Cancer
Thousands of women could avoid painful cancer exam with new AI blood test

An AI blood test being trialled by the NHS could spare thousands of women a painful examination for suspected womb cancer.
Around 90,000 postmenopausal women in England are referred by their GP each year to be investigated for possible womb cancer because of heavy bleeding.
Around 10,000 women a year in England are diagnosed with the disease, also known as uterine or endometrial cancer, and 2,700 die from it.
The PinPoint blood test could save one in five of those women, around 18,000 a year, from undergoing a transvaginal ultrasound scan.
Dr Jacinta Walsh, a GP at King’s Medical Practice in Normanton, West Yorkshire, said: “It often takes up to six visits to a GP before we’re able to rule out cancer.
“PinPoint will help shortcut that process to deliver peace of mind earlier and free up our capacity to see other patients.”
The procedure involves inserting an ultrasound probe into the vagina to measure the thickness of the womb lining. Many women find it uncomfortable or painful.
Although 20 per cent of women referred turn out not to have the disease, all currently undergo a pelvic examination involving an ultrasound scan.
If doctors still suspect cancer, women may then have a tissue sample taken during a biopsy and a hysteroscopy, an examination of the inside of the womb.
Several NHS hospitals are introducing the blood test after a trial involving 16,481 patients referred by GPs at 170 practices in Yorkshire for nine different forms of cancer.
All the patients had the test, including 3,313 women referred because their bleeding raised concerns that they might have womb cancer.
The results showed that the test was 99 per cent accurate in detecting the gynaecological cancers found among the 3,313 women and ruling out their presence.
This was a higher success rate than conventional testing. About one in 10 of the 90,000 women referred because of heavy bleeding turned out to have cancer.
The findings have prompted Mid Yorkshire NHS Teaching Trust to plan to use the test for six types of gynaecological or upper gastrointestinal cancer.
Leeds Teaching Hospitals NHS Trust plans to use it for gynaecological cancer.
The test was developed by Leeds-based PinPoint Data Science, which specialises in the statistical analysis of medical data.
It uses machine learning to assess whether someone is at low, elevated or high risk of cancer by analysing 30 blood markers.
Professor Sean Duffy, the company’s chief medical officer and a former NHS England national clinical director for cancer, said the test’s 99 per cent accuracy for womb cancer “is remarkable by any clinical standards”.
He added: “But equally, its value lies in safely ruling out very low-risk women. This has the potential to spare thousands of patients from painful invasive procedures they do not need.”
Brent Kilmurray, chief executive of the Mid Yorkshire trust, said there was an “especially compelling” case for hospitals to use the PinPoint test to detect gynaecological cancers.
Tracy Jackson, a consultant gynaecologist and cancer unit lead at the Leeds trust, said women referred by GPs currently undergo a transvaginal scan and, if needed, a hysteroscopy.
She said: “But the reality is that most women we see do not have cancer and we are acutely aware that the investigations can be uncomfortable and, for some, distressing.
“The PinPoint test gives us a way to triage more intelligently. If we can confidently rule out low-risk women in primary care, we reduce unnecessary invasive procedures and shorten our waiting lists.
“That means the women who do have cancer can be seen, diagnosed and treated earlier, which is exactly where our focus should be.”
Cancer Research UK said the PinPoint test appeared “promising”.
Samantha Harrison, a spokesperson for the charity, said: “Spotting cancer early saves lives, but right now patients are not being diagnosed quickly enough.
“This test could help to rule out endometrial cancer in some women, through a simple blood test, without the need for further testing.
“More research is needed to understand the benefits for patients and the NHS, but the results of this study are promising.”
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