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Average Ratings 0 Ratings
Description
See-Mode Technologies is a MedTech firm focused on utilizing AI to enhance ultrasound reporting, thereby boosting both diagnostic accuracy and operational efficiency. Their innovative platform swiftly analyzes ultrasound images of the thyroid and breast, resulting in rapid and precise radiology reports. By identifying, measuring, and characterizing nodules, See-Mode produces a comprehensive TI-RADS sonographer worksheet along with initial impressions for radiologists. In the realm of breast imaging, the software not only detects lesions but also automates the BI-RADS reporting process, offering detailed insights into lesion characteristics and levels of suspicion. This advanced technology minimizes inter-operator variability and reduces the likelihood of reporting errors, ultimately strengthening diagnostic confidence and ensuring consistency. By streamlining the reporting process, See-Mode facilitates more informed clinical decisions, which can lead to better patient outcomes.
Description
Skia is a specialized platform for radiology reporting designed for groups and teleradiology services that prioritize high-quality results without sacrificing efficiency. Unlike traditional methods, SkiaQA meticulously reviews each report prior to submission, ensuring it identifies issues such as laterality discrepancies, incorrect or absent comparison dates, contradictions within the report, mismatches between findings and impressions, critical findings that may be overlooked, and incomplete sections, all within mere seconds. Additionally, SkiaReporter revolutionizes the reporting process by eliminating the need for dictation and correction phases; radiologists can simply click on findings, allowing the report to automatically generate in precise clinical language, with impressions derived directly from those selections, ensuring accuracy without speculation or errors. Early implementations indicate that reporting speeds have increased by 30 to 40%, with a remarkable 70 to 90% of impressions generated automatically. Furthermore, SkiaManager facilitates seamless coordination by managing worklist synchronization, automatic assignment based on modality and subspecialty, alerts for critical findings, context from prior studies, and direct submission to PACS. Importantly, Skia maintains strict privacy protocols, as no patient data is stored or transmitted outside your PACS system, ensuring confidentiality and compliance. This innovation not only enhances workflow efficiency but also significantly reduces the likelihood of errors in radiology reporting.
API Access
Has API
No
API Access
Has API
No
Screenshots View All
No images available
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
See-Mode
Founded
2017
Country
Australia
Website
www.see-mode.com
Vendor Details
Company Name
Skia
Founded
2026
Country
United States
Website
skia.io
Product Features
Product Features
Radiology
Audit Trail
No
Billing & Invoicing
No
Claims Management
No
EDI
No
EMR HL7 Bridge
No
Image Fusion
No
PACS Integration
No
Patient Scheduling
No
Scanning Input
No
Teleradiology
No
Wait List Management
No