Surgical Science Introduces Upgraded Ultrasound Simulator to Improve Endometriosis Detection
GOTHENBURG — Surgical Science, a global leader in medical simulation training technology, has launched an upgraded ultrasound simulation module designed to improve clinicians’ ability to detect endometriosis.
The new Endometriosis Simulation Module provides specialised training for doctors and sonographers, enabling them to better identify signs of the condition through ultrasound examinations.
Endometriosis affects approximately one in ten women worldwide, yet the condition remains notoriously difficult to diagnose.
In many cases, patients experience long diagnostic delays, sometimes waiting close to a decade before receiving a confirmed diagnosis.
The upgraded module introduces the sliding sign, a key ultrasound indicator used to identify deep endometriosis.
Mastering this technique in real clinical settings can be challenging because each patient case differs and opportunities to practise with real patients are limited.
By using a virtual simulation environment, clinicians can practise the assessment repeatedly without involving real patients.
This approach allows healthcare professionals to refine their diagnostic skills, build confidence and improve consistency in ultrasound scanning procedures across hospitals.
According to Surgical Science, training with the simulation module has led to significant improvements in clinical understanding and confidence.
About 92 per cent of clinicians reported a better understanding of endometriosis diagnosis after completing training with the simulator.
Confidence in performing systematic Transvaginal Ultrasound (TVS) examinations increased by 40 per cent among participants.
Meanwhile, clinicians’ confidence in identifying cases of deep endometriosis improved by as much as 150 per cent.
The simulation module also integrates the internationally recognised International Deep Endometriosis Analysis (IDEA) protocol.
This protocol provides an evidence-based framework that guides clinicians in performing comprehensive pelvic assessments.
Additional updates include new clinical case studies, region-based diagnostic scenarios, expanded adenomyosis training content and certification options for trainees.
All of the training materials are developed using real ultrasound data, ensuring a highly realistic learning experience.
Surgical Science Chief Executive Officer Tom Englund said improved clinical training plays a crucial role in enabling faster and more accurate detection of endometriosis.
He noted that the company’s simulation technology aims to reduce the long diagnostic delays that many women currently face.
With better training and more structured learning tools, clinicians will be better equipped to recognise different forms of endometriosis more quickly and reliably.
The Endometriosis Simulation Module is currently available on the ScanTrainer platform and is scheduled to be launched on the Ultrasound Mentor (female) platform in March 2026.
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