Vision for Endometriosis
AI Assisted Detection of Endometriosis
A novel visual augmentation technique outperforming existing diagnosis systems in laparoscopy
During laparoscopy, a special dye solution eliminates light reflections, filters red and yellow colors and lets the surface lesions float in the peritoneal cavity while creating contrast to increase visibility for better recognition of otherwise invisible peritoneal ultra pathology and determination of excision boundaries.
''There are many things happening in laparoscopy that obviates our detection… 95% of the endometriosis is subtle disease that is there, that's not detected.'' Seckin, MD
''The visual appearance of endometriosis is important because every intellectual and therapeutic process begins with a surgeon identifying disease.'' Dr. Redwine
A novel object detection technique in combination with an Artificial Intelligence Neural Network model to detect even small Superficial Endometriosis lesions using ultrasound
A new object detection technique reduces the number of false detections significantly leading to an substantial increase in the precision of AI-based models.
Our mission
Innovating new tools for the treatment of Endometriosis
What we do
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Software development for the Real-Time Endometriosis Detection in Laparosopy
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Software development for Endometriosis Detection in Ultrasound Examination
Our Company
Bluezai Inc. provides software-based services:
- We couple top Endometriosis experts and software developers together
- We do R&D to invent novel techniques for increasing accuracy and efficiency in detection of Endometriosis
- We combine AI-based object detection with augmented vision techniques