Vendor source

Reviewed 11 May 2026

Completeness Strong (61%)

OvAi Focus

Syndiag

OvAi Focus is a software that assists doctors providing descriptive artificial intelligence that allows for a standard interpretation of the ultrasound. Designed for the first steps of the diagnostic journey, when attention needs to be raised on specific ovarian cyst’s features that may signal a tumoral mass. OvAi Focus is not a diagnostic product, but rather a medical device to provide more objective information about morphological features of the mass under investigation and healthy ovaries as well.

No papers to support — we monitor for new evidence.

OvAi Focus thumbnail 1
OvAi Focus thumbnail 2

Key Features

  • Objective information about morphological features

General Information

Product name

OvAi Focus

Company

Modality

Ultrasound

Main task

Classification, Quantification

Subspeciality

Abdomen

Disease targeted

Ovarian lesions

Regulatory Information

CE Certification

Pathway:

MDR

Class:

Class I

Verified by Health AI Register

Other certifications

Not specified

Evidence & Research

No research papers or evidence on file yet.

The registry monitors publications for new evidence.

Technical Specifications

Patient population age

Adult

Input

Bmode, Echo-doppler, video, images

Input format

AVI, DICOM, Jpeg, MP4, PNG

Output

Augmented images/video, a series of keywords in the IOTA (International Ovarian Tumor Analysis) standard for the anatomical description of the lesion features.

Output format

Not specified

Integration

Integration CIS (Clinical Information System), Integration in standard reading environment (PACS), Integration RIS (Radiological Information System), Stand-alone webbased

Deployment

Cloud-based

Trigger for analysis

On demand, triggered by a user through e.g. a button click, image upload

Processing time

Not specified

Population

Patients that may receive a benefit from the use of OvAi Focus include all those patients that are undergoing a clinical reporting of echo images of functional ovaries and ovarian lesions. Typical examples of target patient populations include, but are not limited to: - Patients in a screening program - Patients during a routine checkup - Patients in need of an anatomical description regarding ovarian lesions that were previously identified - Patients in follow up after diagnosis or treatment

Market Presence

On market since

07-2025

AI Platforms

Resellers

Not specified

Countries present

Not specified

Paying clinical customers

Not specified

Research/test users

Not specified

Pricing Information

Pricing model

Pay-per-use, Subscription

Based on

Number of analyses, Number of users

Source: Vendor | First published: Feb 19, 2026 | Last updated: May 11, 2026