Overview
Helfie's Endometriosis AI is backed by science.
At Helfie we work closely with reputable and published research partners to design and develop the health AIs that underpin our technology.
Here’s a summary of the study titled “ Early identification of women with endometriosis by means of a simple patient-completed questionnaire screening tool: a diagnostic study”
The Helfie Endometriosis AI, grounded in research that aims to expedite diagnosis through non-invasive methods, is a revolutionary tool designed to help identify endometriosis in its early stages. Developed in reference to a comprehensive diagnostic study, this AI model uses data from a simple, patient-completed questionnaire that has proven effective for early endometriosis detection. This tool, built to work in non-specialist settings, makes it possible to identify potential cases early, bridging the gap often faced in healthcare environments where diagnostic resources are limited.
Endometriosis, a condition affecting millions of women worldwide, is characterized by symptoms like chronic pelvic pain, painful menstruation, and other complex symptoms that can significantly impact quality of life. However, diagnosing endometriosis is often challenging, with patients frequently waiting years for a formal diagnosis. This research-based questionnaire targets core symptoms and patterns associated with endometriosis. By addressing pain intensity, cycle regularity, and specific symptom profiles, the tool enables women to report symptoms that might otherwise be overlooked or attributed to other causes.
Through the study’s findings, it was shown that this questionnaire could significantly reduce the time to diagnosis by efficiently identifying high-risk individuals based on symptom patterns. The tool’s simplicity and ease of use make it particularly effective for screening large populations and empowering individuals to take proactive steps in managing their health. Helfie Endometriosis AI, based on this validated questionnaire model, aims to transform early-stage endometriosis detection, providing a digital tool to support individuals in understanding their symptoms and seeking further medical support if needed.
For an in-depth understanding of the study’s methodology, questionnaire design, and results, you can read the full article.
Let’s Work Together
Helfie partners with researchers, universities and labs from all across the world, to help bring preventative health to all humans.