Rad AI

San Francisco, CA All United States companies → — Founded 2018

Imaging AI Specialist

Radiology

Clinical Decision Support & Reference Documentation & Scribing Radiology & Imaging AI

Series C — $158M

Website Claim this company

Products

Rad AI Omni

Rad AI

Clinical Decision Support & Reference

Rad AI Omni is an AI tool that automates and optimizes radiology reporting, generating impressions and follow-up recommendations to save radiologists time, reduce burnout, and improve patient care. It leverages generative AI for customized reports and seamless workflow integration.

Contact for pricing

See all 1 product →

About Rad AI

Rad AI is a leading healthcare artificial intelligence company focused on empowering physicians, particularly radiologists, by leveraging generative AI to streamline workflows, reduce burnout, and enhance the quality of patient care. The company’s solutions are designed to integrate seamlessly into existing clinical environments, addressing critical challenges such as increasing imaging volumes, radiologist shortages, and the demand for greater efficiency without compromising diagnostic accuracy.

Rad AI offers a suite of products including Rad AI Reporting, Rad AI Impressions, and Rad AI Continuity. Rad AI Impressions, a pioneering generative AI application, automatically generates report impressions from dictated findings, tailored to individual radiologist preferences, and has achieved widespread adoption among thousands of U.S. radiologists. Rad AI Reporting further streamlines the reporting process with AI-driven technology. Additionally, Rad AI Continuity utilizes AI to identify follow-up recommendations for significant incidental findings in radiology reports and automates patient outreach, thereby improving patient outcomes, reducing health system liability, and driving financial value. The company emphasizes an assistive approach, with radiologists providing constant feedback to ensure the AI tools support, rather than replace, human expertise.

Focus Areas

Generative AI radiology workflow automation radiology reporting patient follow-up management speech recognition reducing radiologist burnout improving patient care diagnostic accuracy

Business Intelligence

Key Investors	Khosla Ventures, Gradient Ventures, Transformation Capital, ARTIS Ventures, OCV Partners, Kickstart Fund, World Innovation Lab, Advocate Health Care Network, Atlantic Health System, Canyon Oak Ventures, Cone Health, Corewell Health, Memorial Hermann Health System
Partnerships	Radiological Society of North America (RSNA) Ventures, Advocate Health, Memorial Hermann Health System, Corewell Health, Atlantic Health System
Acquisitions	Equium Intelligence (November 2022)
Technology	Generative AI models, machine learning, proprietary radiology report datasets, multi-model speech recognition architecture, neural networks for customization, cloud-native

What Physicians Need to Know

Generative AI for Radiology

Rad AI is a leader in generative AI solutions specifically designed for radiology. Their proprietary AI models are trained on one of the world's largest radiology report datasets to streamline reporting and enhance diagnostic processes.

Radiology Workflow Automation

The company specializes in automating repetitive tasks within the radiology workflow, aiming to reduce friction and improve overall efficiency. Products like Rad AI Reporting and Rad AI Impressions are core to this specialization.

Advanced Radiology Reporting

Rad AI offers comprehensive radiology reporting solutions, including Rad AI Reporting and Rad AI Impressions. These tools automatically generate impressions and full report drafts, incorporate structured reporting capabilities, and integrate next-generation speech recognition.

Patient Follow-up Management

Rad AI Continuity is a comprehensive solution that uses AI to identify and categorize follow-up recommendations from radiology reports for significant incidental findings. It automates communication with providers and patients to ensure timely follow-up, improving patient outcomes.

Next-Generation Speech Recognition

Integrated into Rad AI Reporting, their patent-pending speech recognition technology features a multi-model architecture with a proprietary 'voting' algorithm. This ensures high accuracy across diverse accents, overlapping speech, and complex medical terminology, understanding clinical context and adapting to individual radiologists.

Radiologist Burnout Reduction

A primary mission of Rad AI is to combat radiologist burnout by saving significant time (up to 60+ minutes per shift), reducing dictation words (up to 90%), and easing the cognitive load associated with repetitive tasks and report generation.

Improved Patient Care & Diagnostic Accuracy

By enhancing reporting quality, ensuring consistent application of consensus guidelines, and automating critical patient follow-ups, Rad AI aims to improve diagnostic accuracy, reduce errors, and ultimately lead to better patient outcomes and safety.

Physician Tip

Rad AI stands out for physicians by offering purpose-built, radiologist-led AI solutions that seamlessly integrate into existing workflows with zero-click automation. Their domain-specific generative AI models are uniquely customized to each radiologist's language and style, providing a personalized experience that significantly reduces dictation time and cognitive load. This focus on practical, physician-centric design directly addresses burnout, improves report quality and consistency, and enhances diagnostic accuracy and patient safety through intelligent reporting and automated follow-up management. Physicians gain back valuable time to focus on complex image interpretation and patient care, rather than administrative burdens.

Rad AI solutions are designed for seamless integration with existing hospital and imaging systems, including Picture Archiving and Communication Systems (PACS) and Electronic Health Record (EHR) systems. For patient follow-up, Rad AI Continuity leverages HL7 messages for real-time status updates and can automate communication via EHR messaging, SMS, or direct mail.

At a glance

Founded 2018

HQ San Francisco, CA · United States

Team size 241

CEO Doktor Gurson

Funding Series C — $158M

Products 1

Visit site

Products by Rad AI

1 product in the directory

Rad AI Omni

Rad AI

Clinical Decision Support & Reference

Contact for pricing

What the Web Says

Rad AI is a healthcare technology company that develops AI-driven solutions to enhance radiology workflows, aiming to improve efficiency, accuracy, and patient care. Their products, such as Omni Impressions and Rad AI Reporting, are designed to reduce radiologist burnout and streamline reporting processes. The company has received positive recognition in the healthcare IT space, including being ranked #1 in Mean KPI score on Black Book's survey of emerging health tech solutions.

Overall: Positive

Strengths

Increased efficiency and time savings for radiologists (e.g., saving over 60 minutes per shift).
Reduced radiologist burnout and mental fatigue due to automation of repetitive tasks.
Enhanced report accuracy and consistency, leading to better patient outcomes.
Seamless integration with existing hospital and imaging systems.
Customized impressions that match each radiologist's unique style.
Automated follow-up tasks for incidental findings, improving patient care and reducing liability.

Limitations

Potential learning curve for new users adapting to AI-driven features.
Reliance on technology may pose challenges during technical failures or system outages.
Specialization in radiology limits application to other medical specialties.
Some Reddit users express skepticism about the company's marketing claims and inflated numbers.
One Reddit user noted that the AI can sometimes 'hallucinate' in impressions, requiring careful review.
One employer review mentions a not-great work-life balance, despite decent pay.

Based on reviews from: Futurepedia, ZipRecruiter, Slashdot, Reddit, FeaturedCustomers, Indeed.com, Alts.co, EINpresswire.com, Elion Health, Capterra, G2

Last updated: 2026-07-21

Videos

News, demos, and interviews about Rad AI.

Loading videos...

Videos load interactively. If none appear, search YouTube for Rad AI →

View all on YouTube

Press & Coverage

Rad AI (via PR Newswire)

Rad AI Announces Strategic Investments from Four Leading Health Systems to Advance Enterprise AI in Healthcare

Rad AI secured an additional $8 million in strategic investments from four major health systems, bringing its Series C funding to $68 million. These partnerships aim to transform care delivery and scale generative AI across healthcare.

2025-05

PR Newswire

Rad AI Closes $60M Series C to Further Solidify Leadership in Healthcare Generative AI

Rad AI announced a $60 million Series C funding round, valuing the company at $525 million, led by Transformation Capital. This funding will accelerate the development and deployment of generative AI technology for healthcare providers globally.

2025-01

Rad AI News / AuntMinnie

Rad AI, Yale New Haven Health System Collaborate on New Reporting System

Rad AI has partnered with Yale New Haven Health System (YNHH) to deploy its AI solutions across YNHH's imaging network, aiming to automate and streamline radiology reporting. This collaboration seeks to reduce administrative burdens and improve workflow efficiency for radiologists.

2026-06

PR Newswire

Rad AI Appoints Chief Operating Officer and First Chief Clinical Officer, Strengthening Operational and Clinical Strategy

Rad AI appointed David Leonard as COO and Dr. Elizabeth Bergey as its first CCO to strengthen operational and clinical strategies. These appointments aim to scale the company's radiology reporting solutions and address challenges like staffing shortages and physician burnout.

2026-04

Rad AI (via PR Newswire)

First Peer-Reviewed Study to Evaluate AI-Generated Impressions Demonstrates Radiologist Preference for Domain-Specific Versus General Models

New peer-reviewed research published in npj Digital Medicine, co-authored by Rad AI, shows that domain-specific AI models are preferred by radiologists over general-purpose large language models for generating radiology impressions. The study, conducted with Moffitt Cancer Center, highlights the importance of AI tailored to clinical workflows.

2026-04

RSNA Press Release

RSNA Ventures and Rad AI Announce Strategic Partnership to Accelerate Innovation in Radiology

RSNA Ventures, a subsidiary of the Radiological Society of North America, announced a strategic partnership with Rad AI to integrate RSNA's peer-reviewed knowledge directly into radiologists' workflows through Rad AI Reporting. This collaboration aims to address the growing pressure on radiologists and the expanding body of medical knowledge.

2025-10

Rad AI

Rad AI Launches Next-Generation Speech Recognition Technology

Rad AI launched its next-generation speech recognition technology, integrated into Rad AI Reporting, to significantly improve the speed and accuracy of diagnostic reporting. This patent-pending technology understands clinical context and adapts to individual radiologists' workflows.

2025-12

Rad AI Blog

As Healthcare AI Changes On The Fly, FDA Reconsiders How To Keep It Safe

This article discusses the FDA's reconsideration of its regulatory approach to evolving AI tools in healthcare, particularly in radiology. It highlights a citizen petition proposing a shift from episodic review to ongoing oversight for certain radiology AI tools.

2026-05

Frequently Asked Questions

How does Rad AI leverage Generative AI to automate radiology workflows and improve reporting efficiency?

Rad AI utilizes proprietary generative AI models, such as those in Rad AI Reporting and Omni Impressions, to automate the creation of radiology reports and impressions. This technology streamlines the reporting process by generating customized, high-quality draft reports and impressions tailored to each radiologist's style, significantly reducing dictation time and cognitive load.

What specific benefits does Rad AI offer in terms of reducing radiologist burnout and simultaneously improving patient care?

Rad AI's solutions, including Omni Impressions and Reporting, are designed to save radiologists significant time, often over 60 minutes per shift, by automating repetitive tasks and reducing words dictated. This efficiency helps alleviate burnout, allowing radiologists to focus more on complex interpretations and patient care, while Rad AI Continuity ensures critical follow-up recommendations are managed, improving patient outcomes and reducing liability.

How does Rad AI address concerns about diagnostic accuracy, and which products are specifically designed for this?

Rad AI enhances diagnostic accuracy by helping radiologists catch clinically significant errors in findings dictation and automatically inserting consensus guideline recommendations into reports. Products like Rad AI Reporting are built with advanced machine learning algorithms and generative AI to ensure consistent and comprehensive analysis, contributing to improved report quality and fewer addenda.

Can Rad AI assist with patient follow-up management for incidental findings, and how does this integrate into existing systems?

Yes, Rad AI Continuity is a comprehensive platform that automates the identification and management of follow-up recommendations for incidental findings in radiology reports. It integrates seamlessly with existing EHR and RIS systems, ensuring timely communication and follow-up, which improves patient outcomes, reduces health system liability, and can generate additional revenue.

What are Rad AI's compliance and data security measures to protect patient information?

Rad AI is SOC 2 Type II HIPAA+ certified, demonstrating high standards for security, confidentiality, and availability. The company employs robust encryption, access controls, an industry-leading de-identification pipeline for radiology reports, and undergoes continuous third-party audits to ensure patient data protection and real-time compliance.

How is Rad AI typically priced, and what kind of support is provided during and after implementation?

Rad AI's pricing is generally customized based on the specific needs and scale of the healthcare institution, rather than a fixed public rate. The company provides comprehensive support, including dedicated implementation project managers, customer success teams, and ongoing technical assistance to ensure seamless integration, user adoption, and continuous optimization of their AI solutions.

What is Rad AI's company stability, and what strategic partnerships has it formed within the healthcare industry?

Rad AI is a rapidly growing company in healthcare generative AI, backed by significant Series C funding and strategic investments from major health systems like Advocate Health and Memorial Hermann. They have also formed partnerships, such as with Bayer's Calantic Digital Solutions, demonstrating strong industry adoption and a commitment to long-term innovation and stability.