VerbatimSaince
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Related Products
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About
Made for Radiologists, by Radiologists. Empowering radiologists with AI to save time, reduce burnout, and improve patient care. Rad AI Continuity closes the loop on follow-up recommendations for significant incidental findings in radiology reports. This improves patient outcomes, reduces health system liability, and drives new financial value. Up to 35% fewer words dictated, 60+ minutes saved per shift. Our solutions improve efficiency and capture missed revenue opportunities. Founded by a team with deep expertise in healthcare and AI, backed by great investors, and trusted by the nation’s leading radiology groups.
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About
Speech recognition and radiology reporting solution that everyone can afford. Verbatim is the industry’s newest and technically most advanced speech recognition and radiology reporting solution that does not burn a hole in your pocket. With accuracy of 99% and built-in intuitive workflows, you can complete your reports fast and easy.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Healthcare AI solution for radiologist
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Audience
Radiologists
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and VideosNo images available
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Pricing
No information available.
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationRad AI
Founded: 2018
United States
www.radai.com
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Company InformationSaince
United States
www.saince.com
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Categories |
Categories |
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Speech Recognition Features
Audio Capture
Automatic Form Fill
Automatic Transcription
Call Analysis
Concatenated Speech
Continuous Speech
Customizable Macros
Multi-Languages
Specialty Vocabularies
Speech-to-Text Analysis
Variable Frequency
Voice Recognition
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Integrations
Imorgon
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