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What is Rad AI?

Designed by radiologists for their colleagues, our program utilizes cutting-edge AI technology to assist radiologists in conserving time, reducing burnout, and improving the quality of care for patients. Rad AI Continuity guarantees that follow-up actions for significant incidental findings in radiology reports are thoroughly managed, which leads to enhanced patient outcomes, reduced risks for health systems, and the creation of new financial opportunities. By achieving up to a 35% decrease in dictated words and saving over an hour per shift, our solutions greatly enhance operational efficiency while also capturing revenue that may have been previously missed. Founded by a proficient team with deep expertise in healthcare and AI, our initiative is backed by notable investors and has earned the confidence of leading radiology organizations nationwide. This dedication to progress is transforming the landscape of radiology, ultimately providing advantages for both healthcare providers and patients. Furthermore, the emphasis on innovative practices signifies a promising evolution in medical imaging, paving the way for future advancements.

What is InformAI?

InformAI focuses on developing artificial intelligence solutions aimed at improving medical diagnostics right at the point-of-care, while also increasing the productivity of radiologists. Our innovative AI-powered image classification tools and predictive analytics concerning patient outcomes are crafted in partnership with the Texas Medical Center, the largest medical center complex in the world. By collaborating with leading healthcare organizations, prestigious physician associations, and top-tier medical imaging companies, InformAI is actively transforming the landscape of healthcare delivery. Our team comprises specialists in healthcare, medicine, and artificial intelligence, united in their mission to create advancements that yield improved patient outcomes. Among our standout offerings is the InformAI Sinus Image Classifier, which employs a 3D convolutional neural network (CNN) and is trained on an extensive collection of 6 million radiology-validated 3D CT-scan images, underscoring our dedication to utilizing state-of-the-art technology in medicine. This strategy not only elevates diagnostic precision but also facilitates quicker and more effective patient care, ultimately enhancing the overall healthcare experience. Through these efforts, we aim to set new standards in medical diagnostics and patient treatment.

Media

Media

Integrations Supported

Imorgon

Integrations Supported

Imorgon

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

Rad AI

Date Founded

2018

Company Location

United States

Company Website

www.radai.com

Company Facts

Organization Name

InformAI

Date Founded

2017

Company Location

United States

Company Website

www.informai.com

Categories and Features

Radiology

Audit Trail
Billing & Invoicing
Claims Management
EDI
EMR HL7 Bridge
Image Fusion
PACS Integration
Patient Scheduling
Scanning Input
Teleradiology
Wait List Management

Categories and Features

Medical Imaging

Automated Routing
Comparison View
Compliance Management
Data Import / Export
Diagnostic Reporting
Image Analytics
Treatment Planning
Workflow Management

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