"Endometriosis—a condition in which the tissue lining the uterus grows outside of it—affects an estimated 10 percent of people with uteruses of reproductive age worldwide. Its symptoms include severe pelvic pain, infertility and pain during sex. It often takes years for people to get a diagnosis, if ever, and there are few treatments available apart from menstruation suppression, pain management and surgery."
"Historically, the gold standard for diagnosing endometriosis has been surgery, through small cuts made in the abdomen. But surgery is still invasive and inaccessible to some patients, and many clinicians instead rely on symptoms alone to make a diagnosis. And while some have turned to noninvasive imaging methods such as magnetic resonance imaging."
"Making endometriosis diagnosis more accessible could lead to earlier treatment, says Katie Jenner, senior director of the product management team for Surgical Science's endometriosis simulator. We are on a mission to democratize ultrasound education and training."
Endometriosis, a condition where uterine tissue grows outside the uterus, affects approximately 10% of people with reproductive-age uteruses worldwide. Symptoms include severe pelvic pain, infertility, and painful intercourse. Diagnosis often takes years and remains challenging, with surgery historically being the gold standard diagnostic method. Current treatment options are limited to menstruation suppression, pain management, and surgery. Researcher Noemie Elhadad, an associate professor of biomedical informatics at Columbia University who has lived with endometriosis since adolescence, develops AI applications to study the condition. Swedish company Surgical Science has created an ultrasound simulator device designed to train clinicians in recognizing endometriosis signs, aiming to democratize ultrasound education and make diagnosis more accessible for earlier treatment.
#endometriosis-diagnosis #ultrasound-training-simulator #medical-ai-applications #womens-health-accessibility #clinical-education-technology
Read at www.scientificamerican.com
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