Inconsistent Evaluations and Long Scan Times Hinder Reproductive Care
Delays in diagnosing uterine conditions are a persistent challenge in fertility care, leading to prolonged patient suffering, higher healthcare costs, and compromised treatment outcomes. Traditional manual assessments are time-consuming, inconsistent, and prone to subjectivity, often resulting in missed or delayed identification of abnormalities such as endometriosis and fibroids.
Complex Diagnosis Delays Can Significantly Impact Fertility
The diagnosis of complex uterine conditions remains unreliable. Studies confirm that diagnosis of T-shaped uterus is not easy as well as other complicated diagnoses. Conditions such as adenomyosis and intrauterine adhesions also pose diagnostic challenges. These conditions can significantly impact fertility, with delayed diagnosis potentially leading to irreversible damage to the uterine lining or complications in embryo implantation.
Samsung UterineAssist – Smarter Imaging for Fertility Care
AI innovation designed to support better outcomes—so you can focus on what matters most: your patients.
✅ Early Detection – Spot potential issues sooner in the fertility journey
✅ Greater Accuracy – AI-powered scans reduce guesswork in uterine assessments
✅ Efficient Workflow – Faster, more consistent results every time
UterineAssist transforms uterine health evaluations, helping providers make confident, timely decisions that can impact fertility outcomes.
Uterine fibroids, affecting up to 30% of women, also require early detection to prevent fertility impairment. However, clinician variability in manual assessments contributes to significant delays due to differences in training, experience, and interpretation of imaging results. Some clinicians may overlook subtle uterine abnormalities, while others may take longer to reach a diagnosis due to uncertainty. This inconsistency leads to delayed treatment initiation and increased patient frustration, particularly in cases where early intervention is crucial for fertility outcomes.
Uterine anomalies and structural abnormalities are also associated with recurrent pregnancy loss and infertility. Timely and precise identification of these conditions is crucial for optimizing treatment pathways. Failure to diagnose these abnormalities early can result in prolonged treatment cycles, increased patient stress, and higher financial costs for both patients and healthcare systems.
Endometriosis is often difficult to diagnose due to its varied presentation and overlap with other conditions. Research highlights that current diagnostic methods can be inconsistent, leading to delayed identification and treatment. Without standardized evaluation techniques, clinicians face challenges in accurately assessing the extent of the condition, further complicating patient care and treatment.
Reducing Scan Times from 10 Seconds to One
Manual evaluations consume valuable consultation time, forcing providers to focus on scanning rather than engaging with patients. This inefficiency strains clinical workflows and prolongs the pathway to diagnosis. In high-volume fertility clinics, where efficiency is critical, delays in diagnosis can lead to longer wait times for treatment initiation, affecting patient outcomes.
AI-powered tools such as Samsung’s UterineAssist address these challenges by automating and standardizing uterine evaluations. Using deep learning technology, the system measures key uterine parameters—such as roundness, myometrial wall symmetry, and positioning—reducing scan times from 10 seconds manually to just one second.
Photo Caption: Uterus Analyzed & Measured with UterineAssist
By eliminating the subjectivity of manual image interpretation, AI ensures more accurate and consistent assessments. Computer-assisted detection can further solve the subjective problem generated by different doctors when they read images. This allows clinicians to make more informed treatment decisions while improving workflow efficiency and patient engagement.
Samsung UterineAssist – Smarter Imaging for Fertility Care
AI innovation designed to support better outcomes—so you can focus on what matters most: your patients.
✅ Early Detection – Spot potential issues sooner in the fertility journey
✅ Greater Accuracy – AI-powered scans reduce guesswork in uterine assessments
✅ Efficient Workflow – Faster, more consistent results every time
UterineAssist transforms uterine health evaluations, helping providers make confident, timely decisions that can impact fertility outcomes.