Fertility
How artificial intelligence is changing the IVF experience
The Centre for Reproductive and Genetic Health is one the few UK providers that have introduced AI in its fertility clinics

With more studies showing that the use of AI has gained traction in its ability to predict clinical outcomes, it is undeniable the technology has a future role in IVF. Suzanne Cawood, director of embryology at the Centre for Reproductive and Genetic Health, tells us how adopting a new tool has helped her clinic.
For decades, IVF has offered those unable to conceive naturally the chance to have biological children. However, stressful treatment processes and the uncertainty of success have meant that, for many, the experience proved highly emotional and confusing.
“The IVF journey can be really difficult and quite traumatic emotionally, physically and financially,” says Suzanne Cawood, director of embryology at the Centre for Reproductive and Genetic Health.
“When patients have their own collection, there’s a whole week when they have no control over what’s going on. It can be a very distressing time.”
With more and more researchers exploring the potential role of AI in clinical decision-making, embryologists think the technology could soon redefine the IVF experience.
The CRGH is one the few UK providers that have introduced AI in its fertility clinics. In January, the centre adopted Fairtility’s AI-powered embryo quality assessment assistant as its exclusive decision support tool to improve the embryo quality assessment and selection process.
“CHLOE collects millions of data points for each embryo and analyses things that we couldn’t possibly gather manually,” Cawood explains.
“For the embryologist, it makes things a lot easier, because it automatically tells us whether the embryo has normally fertilised or not. Of course, we go and double check all of that to make sure that we agree with it, but overall, it saves us time and makes everything a lot more efficient.”
The tool also provides doctors with a score for each embryo, effectively estimating the likelihood of an embryo to implant.
“From the embryologist’s point of view, it makes our observations more accurate. It’s almost like we’ve always got a second opinion on hand,” says Cawood.
“From the patient’s perspective, the tool gives them complete transparency and full insight into their embryo development because they have access to a live feed where they can check the progress of their embryos in treatment.
“Having that video there gives them some of the power back. It also helps us counsel them with more confidence as to how likely that embryo is to be transferable.”
The team at CRGH say the technology has been very well received. With patients now following the stages of the embryo development, the phone calls have got shorter and less confusing.
“I think it is just a matter of time before every clinic adopts this type of technology. The information spreads quickly and patients will start wondering why some clinics have it and some don’t,” says Cawood.
“There’s also an enormous amount of research potential in AI. All the information these tools collect has a real potential to improve both the embryologist and the patient’s experience.”
Fertility
AI could transform ovarian care through personalisation, study finds

AI could transform ovarian care by personalising cancer and fertility treatment, but more clinical validation is needed before routine use.
A systematic review and meta-analysis found AI models showed high diagnostic accuracy for ovarian cancer when combining data such as ultrasound scans and blood test results.
Across 81 studies, AI models correctly identified ovarian cancer in around nine out of 10 cases, with pooled rates of 89 to 94 per cent.
They were also highly accurate at ruling out ovarian cancer when it was not present, with specificity of 85 to 91 per cent.
The analysis also found that explainable AI tools could predict complete surgical cytoreduction in advanced ovarian cancer.
Complete surgical cytoreduction means removing all visible cancer during surgery, which can be an important goal in treatment planning.
The tools achieved a pooled AUC of 0.87. AUC is a measure of how well a model distinguishes between different outcomes, with higher scores showing stronger performance.
In reproductive medicine, AI algorithms helped physicians optimise ovarian stimulation protocols and predict follicular growth during IVF.
Ovarian stimulation is the use of hormones to encourage the ovaries to produce eggs, while follicles are the small sacs in the ovaries where eggs develop.
The review found AI could reliably model ovarian response in IVF with a pooled AUC of 0.81.
However, researchers said challenges remain in translating promising research findings into routine clinical practice.
They identified substantial variation across studies, driven by retrospective study designs, variable AI systems and a lack of standardised validation.
Only 22 per cent of analysed studies reported prospective, multicentre external validation, where models are tested forward in time across multiple healthcare settings.
The authors called for rigorous validation to help close the gap between research and routine clinical practice, alongside standardised methodological and reporting frameworks, smooth integration with clinical workflow and robust governance to support responsible and ethical AI use.
They concluded: “Artificial intelligence is a transformative force in the management of ovarian conditions.
“In gynaecologic oncology, AI enhances every phase of care, from early detection and accurate diagnosis to prognostic stratification and surgical planning.”
In reproductive medicine, AI personalises ovarian stimulation and refines the diagnosis of heterogenous endocrine disorders such as PCOS.
PCOS, or polycystic ovary syndrome, is a hormonal condition that can affect periods, skin, weight and fertility.
Fertility
Housing, work and fertility stop Britons having the families they want – research
Fertility
Femtech World reveals fertility innovation award shortlist

Femtech World is thrilled to reveal the shortlist for the Fertility Innovation Award.
The award, sponsored by FinDBest IVF, celebrates a pioneering product, service or initiative that is transforming fertility care and support.
FinDBest IVF is a global B2B digital platform created to simplify and accelerate how IVF and ART manufacturers connect with trusted, pre-vetted distributors around the world.
This year’s nominees represent a remarkable breadth of approaches to fertility care: from clinic-floor breakthroughs to at-home hormone intelligence to truly borderless access.
Three companies made the cut, with each tackling a real, persistent barrier in reproductive health.
Congratulations to the shortlist and many thanks to everyone who entered.
Fertility Innovation Award Shortlist

HRC Fertility’s Needle-Free IVF is a pioneering advancement designed to transform one of the most challenging aspects of fertility treatment: daily hormone injections.
Developed by board-certified reproductive endocrinologist Dr Rachel Mandelbaum, this innovative approach reimagines how stimulation medications are delivered during IVF and egg freezing, dramatically improving the patient experience while maintaining the same trusted clinical outcomes.
Inspired by feedback from patients who struggled with the injection process, Dr Mandelbaum adapted an innovative drug-delivery system commonly used in other areas of medicine and applied it to reproductive care

Mira is a hormonal health technology company that provides lab-grade hormone testing and AI-driven insights to help women and couples understand their fertility.
The platform has already supported more than 200,000 couples on their fertility journeys worldwide, helping over 60,000+ users achieve pregnancy.
For some users, pregnancy rates have reached up to 89 per cent within six months, demonstrating how accurate hormone data can significantly improve fertility outcomes.

Founded in 2021 by Marija Skujina, a Certified Fertility Nurse Specialist accredited by the European Society of Human Reproduction and Embryology, with nearly 15 years of clinical experience at one of the world’s top IVF clinics, and having navigated her own fertility journey as a patient, Marija built the clinic she had always wished existed.
Plan Your Baby began with a bold, but simple mission – make best quality fertility and pregnancy available anywhere.
Plan Your Baby has created a new generation fertility and pregnancy clinic with patients accessing expert consultations remotely, while blood tests and ultrasound scans are available at over 450 locations across the UK, eliminating the exhausting travel burden that often forces people to take days off work, relocate appointments, or abandon treatment altogether
What happens now
The shortlist will be judged by a representative from category sponsor FindBestIVF, with the winner announced at a virtual event on June 19.
Winners will receive a trophy and be interviewed by a Femtech World journalist.
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