Accelerate diagnosis and reduce costs with Gyni
Gyni removes the subjectivity from vaginitis diagnosis, using the power of AI to accurately determine the 7 most common vaginitis-causing conditions at the point-of-care.
Gyni ends the need for multiple tests and repeated visits by providing an accurate diagnosis at the point of care. This reduces the cost to payers and patients, while remaining a billable service for clinicians to offer.
Gyni deploys the power of machine learning to accurately determine the seven most common causes of vaginitis. With results provided to the web application within five minutes, Gyni enables point-of-care diagnosis and the immediate start of an effective treatment plan.
The Gyni system does not require clinical expertise to operate and only requires a simple vaginal sample that can be collected and/or scanned by nursing staff. This frees physician time for patient consultation.
Inside Gyni
See Gyni in action
Bring expert vaginitis diagnosis to every clinic
Using the power of AI, Gyni brings expert-level vaginitis to every clinic. With a compact desktop system,
Gyni can be deployed at the point-of-care and used by clinical or auxiliary staff to streamline the process.
See how Gyni compares to existing diagnostics:
*All accuracy numbers are approximations.
Gyni gives you:
Expert-level diagnosis without any extra
training for physicians or nursing staff
Results at the point
of care
Accurate diagnosis for all 7 most
common causes of vaginitis
GYNI Technical Specifications
Scanner size and weight: Weight 6 Kg, Size 30 cm X 32 cm X 15cm.
Sampler size and weight (inside vacuum forming tray): 40gr ±2, 70 mm X 250 mm
Power supply: 100-240V, 50-60Hz, 0.4-0.8A Scanner package size 400 mm X 210 mm X 400 mm
Sampler 20 pcs. Package size and weight:
260 mm X 74 mm X 384 mm
Connectivity: Maximal distance to Wi-Fi router or extender: 20 feet/ 6 meters
Minimal Upload Data Rate: 1.2Mbps
