See-Mode Technologies

See-Mode Technologies

See-Mode Technologies offers innovative AI-augmented ultrasound reporting solutions that enhance clinical accuracy and workflow efficiency in medical imaging.

Location: New Zealand
Software Type: Web App

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Description

See-Mode Technologies provides an AI-augmented ultrasound reporting solution designed to streamline the reading and assessment of ultrasound images. This cloud-based platform automates the extraction of pertinent clinical information, enhancing consistency and reducing the likelihood of errors. The software is particularly effective in generating clinical reports quickly, including preliminary radiologist impressions, which minimizes the burden of manual reporting.

Key Functionalities:

  • Automated Analysis: The software automatically identifies and classifies lesions in breast and thyroid ultrasounds, adhering to BI-RADS and TI-RADS reporting schemas. This feature significantly decreases reporting time while enhancing accuracy.
  • Vascular Pathology Detection: It detects vascular pathologies, including stenoses and occlusions, across various ultrasound studies such as carotid and lower limb assessments. Detailed reports and diagnostic diagrams are automatically generated.
  • Seamless Integration: The solution integrates effortlessly with existing PACS and radiology reporting systems, eliminating the need for complex IT setups and allowing for swift data turnover.
  • Regulatory Approval: The platform has obtained FDA 510(k) clearance for its thyroid ultrasound analysis software, ensuring compliance with regulatory standards.
  • Comparison Tools: Users can easily compare current ultrasound images with previous ones, highlighting changes in lesion characteristics, which aids in tracking clinical progress.

The See-Mode solution empowers healthcare professionals by enhancing their ability to deliver accurate and timely patient care through advanced medical imaging technology. By leveraging AI, this platform addresses common challenges in ultrasound reporting and contributes to improved patient outcomes.

Features

Automated Lesion Detection

Utilizes AI to automatically identify and classify lesions in ultrasound images, ensuring faster and more accurate reports.

Regulatory Compliance

The software is FDA 510(k) cleared for thyroid ultrasound analysis, ensuring it meets strict medical standards.

Cloud-Based Accessibility

Being cloud-based, the software eliminates the need for complex IT integration, facilitating ease of access and use.

Seamless PACS Integration

Integrates with existing PACS and radiology reporting systems for efficient workflow and data management.

Image Comparison Tools

Provides tools for quick comparisons between current and past ultrasound images to track changes in lesions.

Tags

ultrasoundAI in healthcaremedical imaginghealthcare technologyradiology

Documentation & Support

  • Documentation
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  • Updates
  • Online Support