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Description
Fluency for Imaging is a speech-driven radiology reporting solution designed to improve efficiency, accuracy, and workflow automation in medical imaging environments. Developed by Jacobian, the platform integrates advanced speech recognition technology with AI-assisted reporting tools to support radiologists in generating high-quality diagnostic reports. Radiologists can dictate findings naturally while the system automatically structures the information into standardized report formats. Fluency for Imaging also supports the transfer of measurement data and AI findings directly from PACS systems into the report, eliminating manual data entry and reducing the risk of transcription errors. Built-in guideline support provides classification and scoring assistance using frameworks such as BI-RADS, PI-RADS, and TNM. The platform incorporates intelligent nudging and real-time feedback to help maintain report accuracy and compliance with clinical standards. Fluency for Imaging also supports ontology-based coding using standards such as RadLex, SNOMED CT, and ICD-10, enabling structured reporting and improved interoperability with hospital systems. With multimedia reporting capabilities, radiologists can include annotated images, tables, and visual elements directly within reports to enhance clarity and communication. By combining AI automation, structured reporting, and seamless system integration, Fluency for Imaging helps healthcare organizations streamline radiology workflows and improve diagnostic reporting quality.
Description
Created by radiologists for their peers, our initiative harnesses AI technology to help radiologists save time, alleviate burnout, and enhance the quality of patient care. Rad AI Continuity ensures that follow-up recommendations for important incidental findings in radiology reports are effectively addressed, leading to better patient outcomes, minimizing health system risks, and generating new financial benefits. With up to 35% reduction in dictated words and over an hour saved during each shift, our solutions significantly boost operational efficiency while also capturing previously overlooked revenue. Established by a skilled team with extensive knowledge in healthcare and artificial intelligence, our venture is supported by prominent investors and has gained the trust of leading radiology groups across the country. This commitment to innovation helps reshape the future of radiology, ultimately benefiting both practitioners and patients alike.
API Access
Has API
API Access
Has API
Integrations
Centricity RIS-IC
Imorgon
Merge
NovaPACS
NovaPACS EI
ProtonPACS
Sectra PACS
Synapse PACS
Syngo Carbon
Integrations
Centricity RIS-IC
Imorgon
Merge
NovaPACS
NovaPACS EI
ProtonPACS
Sectra PACS
Synapse PACS
Syngo Carbon
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Jacobian
Country
United States
Website
www.jacobian.com
Vendor Details
Company Name
Rad AI
Founded
2018
Country
United States
Website
www.radai.com
Product Features
Medical Imaging
Automated Routing
Comparison View
Compliance Management
Data Import / Export
Diagnostic Reporting
Image Analytics
Treatment Planning
Workflow Management
Radiology
Audit Trail
Billing & Invoicing
Claims Management
EDI
EMR HL7 Bridge
Image Fusion
PACS Integration
Patient Scheduling
Scanning Input
Teleradiology
Wait List Management
Product Features
Radiology
Audit Trail
Billing & Invoicing
Claims Management
EDI
EMR HL7 Bridge
Image Fusion
PACS Integration
Patient Scheduling
Scanning Input
Teleradiology
Wait List Management