The Israeli startup Endocure has developed an innovative system to detect, localize and stage endometriosis lesions. Existing imaging solutions on the market fail to detect a significant proportion of endometriosis lesions. Moreover, current management approaches lack information about the location, size, and stage of development of these lesions.
Leveraging AI-based robotic ultrasound imaging, Endocure's technology offers a sophisticated approach. It involves integrating a robotic scanning system with a standard ultrasound transducer, achieving a seamless fusion of advanced technologies.
The acquired data is then processed into 3D volumetric data using specialized software. Employing AI algorithms, the software effectively identifies and characterizes the lesions, representing a major advancement not only in the diagnosis and management of endometriosis but also in surgical planning.
Endometriosis affects about 10% of women of reproductive age (equivalent to 200 million people worldwide) and presents a significant diagnostic challenge. The lack of suitable technologies extends the diagnostic period, which averages between 7 and 11 years.
As a result, this delay allows the disease to progress and worsen. Its impact is manifested by severe pain, fatigue, anxiety, depression, and infertility, leading to a substantial reduction in overall quality of life.
Caroline Haïat
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