Diagnosis
Women pay for AI to boost mammogram findings

More than a third of women across 10 health care practices in the US chose to enrol in a self-pay, artificial intelligence (AI)-enhanced breast cancer screening programme, and the women who enrolled were 21 per cent more likely to have cancer detected, according to new research.
AI has shown great promise in mammography as a “second set of eyes” for radiologists providing decision support, risk prediction and other benefits.
Despite its promise, AI is not yet reimbursed by insurance in the United States, which likely is slowing its adoption in the clinic. Some practices have elected to offer enhanced workflows enabled by AI at additional cost, much like what was done when digital breast tomosynthesis was originally deployed.
For the study, researchers investigated the impact of AI—including a safeguard review—as a self-pay option in screening mammography.
A self-pay, AI-powered screening mammography program was offered to patients across 10 clinical practices, ranging from a few sites up to 64 sites at the largest practice. Women who enrolled had U.S. Food and Drug Administration-compliant AI software applied to their mammograms.
An expert breast radiologist provided a third, safeguard review in cases where there was discordance between the first reviewer and the AI.
Out of the 747,604 women who underwent screening mammography over an initial 12-month period, the overall cancer detection rate was on average 43 per cent higher for enrolled women than for unenrolled women. The pattern of a substantially higher cancer detection rate in enrolled women was observed at all 10 practices.
Further analysis attributed 21 per cent of the increase in cancer detection to the AI programme. The researchers credited the remaining 22 per cent increase in detection to the fact that higher-risk patients chose to enrol more frequently.
“These data indicate that many women are eager to utilise AI to enhance their screening mammogram, and when AI is coupled with a safeguard review, more cancers are found,” said study senior author Gregory Sorensen, from DeepHealth.
The recall rate—the rate at which women were called back for additional imaging—was 21 per cent higher for enrolled versus unenrolled women. Relatedly, the positive predictive value for cancer was 15 per cent higher for the enrolled women, indicating that each recall resulted in more cancer diagnoses in the enrolled population.
“This is the first report on results from a program that provides an AI-powered enhanced review that patients can elect to enrol in,” said study lead author Bryan Haslam, from DeepHealth.
“The AI-driven enhanced review programme leverages AI in a novel workflow to ensure women with suspicious findings get expert level care that could help detect many more breast cancers early.
“The number of women electing for this program is now at 36 per cent and growing, and the rate of cancer detection continues to be substantially higher for those women.”
In the future, the researchers hope to better quantify the benefit of the AI-driven safeguard review with prospective randomised controlled trials that would eliminate the self-selection bias and provide the highest level of evidence.
Pregnancy
New reporting tool targets maternal-fetal teams as pregnancy complexity rises

A new reporting tool built specifically for obstetrics and maternal-fetal medicine has launched, aimed at teams managing increasingly complex pregnancies with limited time and resources.
Trice Imaging has released Trice Workspace Reporting, which connects imaging, reporting and longitudinal patient data in a single workflow to support faster clinical decision making.
Birth rates are falling worldwide, but pregnancies are getting more complicated. Advanced maternal age, IVF-assisted pregnancies, rising obesity rates and a higher prevalence of hypertension and diabetes mean more cases now require specialist monitoring, advanced imaging and multidisciplinary care.
At the same time, clinical teams are stretched and facing growing administrative demands.
Trice Workspace Reporting brings together customisable reporting, dynamic pregnancy dating and longitudinal patient history with an AI-ready, EHR-interoperable infrastructure, all inside the company’s Tricefy image management platform.
The company says it aims to accelerate standardised and synchronised report turnaround, support timely clinical decisions and improve operational efficiency for fetal medicine services.
“Maternal fetal medicine teams are managing increasingly complex pregnancies while being asked to do more with limited time and resources,” said Mark A. Samii, chief revenue officer at Trice Imaging.
“Trice Workspace Reporting is designed to remove unnecessary friction from reporting by creating a structured digital foundation that supports today’s need for connected clinical workflows.
“It also provides a digital foundation as practices prepare for tomorrow and the evolution of AI-enabled fetal assessment, anomaly detection and outcome prediction technologies.”
Trice Imaging describes its mission as transforming the women’s health journey by connecting physicians, patients and healthcare systems. From independent practices to large hospital ecosystems, it aims to reach the entire women’s health continuum, spanning IVF and reproductive health, maternal-fetal medicine and OB/GYN, and onwards to lifelong women’s health.
For more than 17 years the firm has worked on cloud-based storage, retrieval, display, organisation and exchange of ultrasound medical images and associated information across health environments.
Its wider platform now extends to dynamic clinical reporting, AI-driven workflow optimisation, data analytics and secure patient engagement.
Trice Imaging holds regulatory and data protection clearances in 40 countries. It has offices in Miami and Stockholm, alongside a growing network of global distributors.
pain conditions
Two “gamechanger” tests set to speed up endometriosis diagnosis on the NHS

Two endometriosis tests could cut years from diagnosis after NICE backed their temporary NHS use in England and Wales.
EndoSure and Endotest have been recommended in draft guidance, with one able to provide results in 45 minutes.
Endometriosis affects around one in 10 women of reproductive age. It occurs when tissue similar to the womb lining grows elsewhere, including around the ovaries and fallopian tubes.
Symptoms can include painful periods, painful bowel movements, pain when urinating and pain during or after sex.
Diagnosis can involve ultrasound scans, magnetic resonance imaging (MRI) or laparoscopy. A laparoscopy is keyhole surgery in which a camera is inserted through a small cut in the abdomen.
Despite the effect the condition can have on physical and mental health, women can wait years for a diagnosis.
The average wait in the UK is nine years and four months, rising to 11 years for women from ethnically diverse communities, according to the National Institute for Health and Care Excellence (NICE).
Long waits can increase suffering, prolong poor health and allow the condition to progress, making it more difficult to treat.
Dr Anastasia Chalkidou, NICE’s healthtech programme director, said: “A diagnosis of endometriosis can for some women take the best part of a decade, with the UK average standing at nine years and four months, and rising to 11 years for those from ethnically diverse communities.”
She said delays could lead to chronic pain affecting daily life, relationships and work.
She added: “These technologies have the potential to change that by giving primary care professionals better non-invasive tools to identify endometriosis earlier, allowing earlier and better treatment.
“Our draft guidance reflects our commitment to getting promising innovations to patients quickly, while making sure the evidence to support their wider use is built in a rigorous way.”
Endotest examines a saliva sample for microRNAs, tiny biological markers that can indicate the presence of endometriosis.
The sample is sent to a laboratory and the result returned to a GP or another healthcare professional to inform the next steps in diagnosis and care.
EndoSure uses sensor pads placed on the abdomen to measure electrical signals in the gut.
Women must fast for between six and eight hours before the 45-minute test. During the procedure, they drink water until they feel full, helping the device record gut activity accurately.
Results are available as soon as the test is complete.
The draft recommendation, published on Tuesday, approves both technologies for three years while further evidence is collected on how well they work.
NICE will then decide whether to approve them permanently for NHS use.
NICE said a third test, DotEndo, needs more research before it can be recommended.
EndoSure and Endotest are not designed to diagnose the condition on their own.
They are intended for women whose symptoms still suggest endometriosis after a normal clinical examination and negative or inconclusive imaging results, or when imaging has not been carried out.
Dr Gail Busby, a consultant gynaecologist at Manchester University NHS Foundation Trust, said: “These tests are a gamechanger because they give us answers much earlier, without the need for invasive surgery, and that means we can start the right treatment sooner.
“An earlier diagnosis doesn’t just change one person’s life, it frees up appointments and surgical slots for everyone waiting for care.”
Emma Cox, of Endometriosis UK, welcomed the tests.
She said their introduction should be supported by education for GPs and nurses to ensure prompt access and prevent symptoms from going unrecognised.
Entrepreneur
Xella launches AI-powered precision health platform

Xella Health has launched what it calls the first AI precision health platform built for the XX chromosome.
The company says it aims to address a lack of diagnostic precision and clinical research focused on female biology.
Women make up half of the population and account for 80 per cent of consumer healthcare decisions, but research into women’s health has historically received less funding than male-focused studies.
Kelly Lacob, Xella Health co-founder and chief executive, said: “Women have been trapped in a diagnostic dark age experiencing debilitating symptoms like severe period pain, bloating and GI issues, exhaustion, and brain fog, routinely dismissed by the healthcare system.
“This dismissal results in women being diagnosed four years later than men, on average, for the same conditions, and a seven-to-10-year delay for women to receive an accurate diagnosis for conditions like endometriosis.
Stalling necessary care and treatment results in prolonged suffering with chronic pain, heightened infertility risks, and declining mental health.
Xella is here to replace the systemic medical gaslighting women have endured for generations.
We are handing women the evidence and information they need to advocate for themselves and secure faster, accurate diagnoses before early-stage conditions spiral.”
Xella says its AI examines billions of data points from clinical information and multi-omic biomarkers to assess the probability of more than 130 conditions specific to female biology.
Multi-omic data combines information from several biological areas, including genes, proteins and hormones.
The conditions assessed include polyendocrine metabolic ovarian syndrome, or PMOS, formerly known as polycystic ovary syndrome, as well as perimenopause and endometriosis.
Xella was founded by Lacob, Adriana Dantas and Dr Jesus Ching, who developed the concept while working together on molecular diagnostics at Mammoth Biosciences.
The founders say the platform is designed to provide information about possible underlying causes through advanced testing and long-term care of a kind often available only through expensive concierge services.
They drew on personal experiences to build a service intended to identify small changes in a woman’s biological baseline.
Members complete an initial health questionnaire before having blood taken at a local partner laboratory such as Quest or Labcorp.
A phlebotomist can also visit a member’s home for an additional charge.
The company’s AI analyses biomarker data from genomics, proteins and hormones alongside symptoms, lifestyle risks and medical history.
Xella says this information is used to screen for more than 130 female-specific conditions, including PMOS, Hashimoto’s disease, premenstrual dysphoric disorder, endometriosis and perimenopause timelines.
Hashimoto’s disease is an autoimmune condition in which the immune system attacks the thyroid gland.
Premenstrual dysphoric disorder, or PMDD, is a severe form of premenstrual syndrome that can cause significant emotional and physical symptoms.
The results are processed through Xella’s own dry laboratory, which the company says is certified under the US Clinical Laboratory Improvement Amendments and accredited by the College of American Pathologists.
A dry laboratory analyses data using computing and other non-experimental methods rather than carrying out traditional laboratory procedures.
The findings are turned into a personalised healthcare plan and reviewed with a certified telehealth doctor.
The doctor may recommend immediate clinical action, including personalised hormone therapy or referrals to genetic counsellors, pelvic floor physiotherapists and reproductive endocrinologists.
Reproductive endocrinologists are doctors who specialise in hormones, fertility and reproductive health conditions.
Dantas, co-founder and chief operating officer, said: “Women’s health data has historically been treated in isolated silos – a hormone test here, an ultrasound there – but no one was connecting the dots across the entire biology.
“By tracking unique biological patterns longitudinally across cycles and life stages, we aren’t just providing data, but a clear path forward.”
Xella’s clinical advisers include Dr Allison Kurian, director of Stanford Women’s Clinical Cancer Genetics Program and professor of medicine, epidemiology and population health at Stanford.
They also include Dr Lynn Westphal, a reproductive endocrinology and infertility specialist and chief medical officer of Kindbody.
Xella has received US$4.7m in angel and pre-seed funding from Precursor Ventures, Capital F, Ulu Ventures and Swizzle Ventures.
Other funds and angel investors from healthcare, diagnostics and consumer technology also participated.
Margaret Coblentz, co-founder and general partner of Capital F, said: “Women’s health is one of the highest-momentum categories in the market today, driven by a US$15tn female economy.
“Xella represents exactly how Capital F sees women’s health evolving: deep clinical expertise paired with a consumer-first mindset, and a genuine opportunity to unlock the next generation of healthcare.”
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