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What is See-Mode?

See-Mode Technologies is a MedTech company dedicated to leveraging artificial intelligence to improve ultrasound reporting, thereby enhancing both the precision of diagnoses and the efficiency of operations. Their groundbreaking platform quickly analyzes ultrasound images related to the thyroid and breast, leading to swift and accurate radiology reports. By effectively identifying, measuring, and characterizing nodules, See-Mode generates a detailed TI-RADS sonographer worksheet along with preliminary assessments for radiologists. In the sphere of breast imaging, the application not only identifies lesions but also automates the BI-RADS reporting procedure, providing in-depth information regarding lesion characteristics and levels of suspicion. This sophisticated technology reduces variability between operators and diminishes the chances of reporting mistakes, which in turn boosts diagnostic confidence and ensures uniformity in results. By optimizing the reporting workflow, See-Mode empowers clinicians to make better-informed decisions, ultimately contributing to improved patient outcomes. This comprehensive approach marks a significant advancement in the field of medical imaging technology.

What is OMS Diagnostics?

OMS Diagnostics® presents an all-encompassing cardiovascular diagnostic reporting platform tailored for both physicians and technologists, allowing for the creation, interpretation, and reporting of a wide variety of diagnostic procedures, such as echocardiograms, myocardial perfusion imaging, PET scans, Holter monitoring, EKGs, and ambulatory cardiac telemetry. In addition, the OMS Diagnostics® module dedicated to lower extremity venous reflux ultrasound provides users with essential tools to accurately document cases of lower extremity peripheral reflux disease. This module aids in the identification and recording of abnormal structures, stenosis, and various anatomical irregularities. The comprehensive lower extremity venous ultrasound reports produced are not only detailed but also impressive, boasting customized statements that enrich the overall narrative. Importantly, the presence or absence of thrombus and insufficiency is clearly outlined in an organized table, significantly improving readability. Moreover, the illustrations represent completed vessels as data is entered, offering a visual depiction of the findings. Preliminary reports are generated almost instantaneously, facilitating swift review and signing by healthcare professionals, which in turn optimizes the diagnostic workflow. This streamlined process ultimately enhances patient care by ensuring timely and precise reporting, contributing to better outcomes in cardiovascular health management. By leveraging such advanced tools, healthcare providers can make informed decisions more efficiently.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

See-Mode

Date Founded

2017

Company Location

Australia

Company Website

www.see-mode.com

Company Facts

Organization Name

Objective Medical Systems

Date Founded

2011

Company Location

United States

Company Website

objectivemedicalsystems.com/products/oms-diagnostics/

Categories and Features

Categories and Features

PACS

Comparison View
Data Compression
Diagnostic Reporting
HL7 Support
Image Management
Mobile Access
Non-DICOM Imaging Support
Patient Portal
Referring Physician Portal
Voice Recognition

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