Artificial Intelligence Accelerates Endometriosis Diagnosis
Leveraging a new artificial intelligence (AI) system could help millions of women enduring the agony of endometriosis, a distressing condition characterized by the growth of sensitive tissue outside the uterus ().
Professor Gustavo Carneiro, Professor of AI and Machine Learning at the University of Surrey and one of the Chief Investigators of IMAGENDO�, said:
AI Improves Lives of Endometriosis Patients
"While the legitimate concerns about the use of AI have dominated the headlines, here is an example of how this technology can improve the lives of millions of people who suffer from endometriosis and severe pelvic pain.‘Employing AI, the IMAGENDO� system evaluates data from ultrasound and MRI scans, leading to a substantial reduction in the duration required for endometriosis diagnosis. #womenhealth #uterus’
The lengthy process of diagnosing endometriosis can lead to anxiety, depression and fatigue, often requiring patients to consult with multiple health professionals. This extended diagnostic journey may require invasive surgery and currently lacks a reliable non-invasive test, not to mention it presents many patients with significant health and economic risks.
Reference:
- The IMAGENDO� Study - (https:imagendo.org.au/)