Rad AI enhances radiology workflows using artificial intelligence to improve efficiency and accuracy in medical imaging. Its main product, Omni Reporting, automates routine tasks, ensures follow-up on incidental findings, and boosts reporting accuracy. Rad AI differentiates itself from competitors by focusing on seamless integration into existing workflows and maintaining high standards of data security and patient privacy, being SOC 2 Type II and HIPAA certified. The company's goal is to provide healthcare providers with AI-driven solutions that streamline radiology practices, ultimately improving patient outcomes.

OCV Partners

Artis Ventures

Kickstart Fund

Array Ventures

UP2398

GMO Venture Partners

Precursor Ventures

Fifty Years

World Innovation Lab

Khosla Ventures

Gradient Ventures

AI & Machine Learning

Healthcare

Rad AI

Collaboration addresses longstanding inefficiencies in radiology workflow, as well as reducing burnout and empowering radiologists to focus on what truly matters - "staying in the flow". CHICAGO, Dec. 2, 2024 /PRNewswire/ -- AGFA HealthCare and Rad AI are announcing a strategic collaboration to enhance radiology workflows. Building on its leadership in Enterprise Imaging, AGFA HealthCare is raising the bar with Rad AI Reporting and FHIRcast integration. These cutting-edge solutions, powered by AI-driven reporting, enable radiologists to work faster, smarter, and with greater precision. By addressing critical workflow inefficiencies, AGFA HealthCare and Rad AI are not just setting the industry standard in data exchange and interoperability — they are shaping the future of radiology

Agfa Healthcare And Rad Ai Announce Strategic Collaboration To Enhance Radiology Workflows

AI-driven innovation increases radiograph efficiency by 48%, improves overall productivity by 25%, and alleviates radiologist fatigue. CHICAGO, Dec. 1, 2024 /PRNewswire/ -- Radiology Associates of North Texas (RANT), the largest private radiology practice in Texas and one of the largest in the nation, is transforming its operations with Rad AI Reporting, achieving a 48% increase in radiograph reporting efficiency and a 25% increase in overall hourly RVU productivity. These impressive results highlight Rad AI's longstanding leadership in generative AI. "It's incredible that Rad AI Reporting won AuntMinnie's 'Best New Radiology Software' recognition at last year's RSNA, and now, in 2024, we are already demonstrating transformational results as we deploy Rad AI Reporting to radiology groups nationwide," said Josh Duncan, Senior Vice President of Sales, Marketing,  Customer Success. "The feedback and outcomes from RANT showcase why Rad AI Reporting is the fastest-commercialized software in radiology history."

Rad Ai Reporting Revolutionizes Radiology: 48% Increase In Efficiency At One Of The Nation'S Largest Private Practices

Founded by Doktor Gurson and Jeff Chang in 2018, Rad AI has now raised a total of $83.0M in total equity funding and is backed by Artis Ventures (AV), Gradient Ventures, Khosla Ventures, Kickstart, OCV, and WiL (World Innovation Lab).

The Weekly Notable Startup Funding Report: 5/13/24

InnovationRx is your weekly digest of healthcare news. To get it in your inbox, subscribe here. A protein folding prediction in response to a small molecule generated by AlphaFold 3.Isomorphic LabsToday, Deepmind announced the launch of AlphaFold 3, the next generation of its AI software for structural biology, which has enabled thousands of researchers to predict the complicated chemical interactions involved with proteins. One major difference in the new iteration of the program: instead of just predicting protein folding, it predicts the interactions of other biological molecules as well including DNA, RNA and small molecules. The company published the accuracy of its predictions in the journal Nature.In addition to the new capabilities–which even includes the ability to make predictions based on epigenetic changes to DNA–the company has also launched AlphaFold Server, a web service that enables researchers to generate biochemical models without having to install the system itself from open source code, as was the case with previous iterations. Something else new is that AlphaFold now works with diffusion models – which are popularly known for being used by AI systems that generate images from text prompts – in place of some of its previous structural models.“The response to AlphaFold 2 was more than I could have ever imagined in terms of the kind of creativity and what the research community has done with it,” Deepmind research director John Jumper said at a press briefing

Innovationrx: Deepmind Unveils Its New Protein-Folding Ai Model Alphafold 3

In 2017, Vinod Khosla told CNBC that the job “of the radiologist will be obsolete in five years.” While the founder of Khosla Ventures later revised that timeline to as long as 15 years, he maintained that AI image recognition could soon diagnose disease on scans better than human doctors.Seven years later, radiologists are still required to interpret most scans (even if AI software helps them); the more immediate challenge is the shortage of these doctors in the United States and around the world.While Khosla Ventures has backed several imaging startups, including Vista.ai and Q Bio, the firm’s latest bet is on a company that makes radiologists’ workload easier by reducing the time spent on report documentation, instead of trying to replace the physician with a machine.On Tuesday, Khosla led a $50 million Series B into Rad AI, which developed a tool that can generate reports for radiologists. Other participants in the round included World Innovation Lab and returning investors ARTIS Ventures, OCV Partners, Kickstart Fund and Gradient Ventures (Google’s AI-focused fund). The financing brought the company’s total capital raised to over $80 million.Rad AI was founded in 2018 by Dr. Jeff Chang, who completed his medical training as a radiologist when he was 16 and later received an MBA from UCLA, and serial entrepreneur Doktor Gurson.Since Chang knew from his own experience as a practicing doctor that the majority of radiologists’ time is spent documenting findings rather than analyzing images, the pair decided to develop a proprietary LLM trained on radiology report datasets for automating doctors’ findings and impressions documentation.While tech companies didn’t widely use generative AI until OpenAI’s ChatGPT burst onto the scene in 2022, Rad AI takes pride in being an early adopter of this technology. “I’m confident we’re the first company in radiology to start using LLMs,” Gurson, Rad AI’s CEO told TechCrunch. “We started doing that work in 2018, around the same time that open AI was creating their [first] models.”Six years later, Rad AI’s products are used by about a third of U.S

Rad Ai, A Startup That Helps Radiologists Save Time On Report Generation, Raises $50M Series B From Khosla Ventures

Rad AI, a generative AI healthcare company, has secured $50M in a Series B funding round led by Khosla Ventures. Participants included WiL, ARTIS Ventures, OCV Partners, Kickstart Fund, and Gradient Ventures. This funding raises Rad AI's total capital to over $80M. The company is noted for its significant impact and recognition in the healthcare AI sector.

Rad AI Secures $50M Series B Funding

Rad AI, specializing in generative AI for healthcare, has secured $50 million in Series B funding led by Khosla Ventures. The investment, which brings total capital to over $80 million, will expand its AI solutions globally. Rad AI's technology is used by a third of US health systems and top radiology practices, enhancing physician efficiency and patient care by reducing report dictation time.

Rad AI Raises $50M for AI Healthcare

Rad AI raises $50M in funding round

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Rad AI announces $25m Series A to improve the field of radiology

AI-driven software for radiology workflows

Rad AI

AI-driven software for radiology workflows

Rad AI

AI-driven software for radiology workflows

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