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Table of Contents:

1. Introduction
2. About RAD AI
3. RAD AI Omni: Automating Radiology Reports
4. The Importance of Radiology Reports
5. RAD AI Continuity: Closing the Loop on Incidental Findings
6. Partnership with Equium for Demand Forecasting
7. Exciting Developments in Smart Worklist Product
8. Growth and Commercial Success of RAD AI
9. Future Plans and Priorities
10. Conclusion

Introduction The introduction will provide an overview of the article, discussing the company RAD AI and its presence at the Biotech Showcase meeting in San Francisco. It will mention the interview with Doktor Gurson, the CEO of RAD AI, and briefly touch on the topics that will be covered in the article.

About RAD AI In this section, we will delve into RAD AI's background, discussing its formation in 2018 and the unique combination of expertise in radiology and AI possessed by its co-founder, Dr. Chang. We will highlight the company's goal of augmenting, rather than replacing, radiologists.

RAD AI Omni: Automating Radiology Reports This section will focus on RAD AI's flagship product, RAD AI Omni. We will explain how this AI algorithm automates the creation of the impressions section of radiology reports, eliminating repetitive tasks for radiologists. The customization of the language to match the radiologist's own style will also be emphasized.

The Importance of Radiology Reports In this section, we will discuss the significance of radiology reports in the medical field. We will highlight the role of radiologists in generating these reports and how RAD AI Omni can enhance the efficiency and accuracy of this process.

RAD AI Continuity: Closing the Loop on Incidental Findings Here, we will introduce RAD AI's second product, RAD AI Continuity. This product aims to improve communication and follow-up regarding incidental findings in radiology. We will explain how the follow-up manager feature helps health systems streamline this process.

Partnership with Equium for Demand Forecasting This section will discuss RAD AI's recent acquisition of Equium, a company founded by radiologists with expertise in demand forecasting. We will explain how this partnership will enable RAD AI to optimize staffing levels and meet the demand for radiology services effectively.

Exciting Developments in Smart Worklist Product Here, we will explore the advancements in RAD AI's smart worklist product. We will highlight the company's focus on incorporating Equium's expertise in demand forecasting into this product, enabling efficient scheduling of radiologists' shifts.

Growth and Commercial Success of RAD AI In this section, we will showcase RAD AI's commercial success since the launch of RAD AI Omni in 2021. We will highlight the company's partnerships with top radiology groups in the US and its consistent growth rate of 200% annually.

Future Plans and Priorities Here, we will discuss RAD AI's vision for the future and its plans for further development. We will highlight the company's excitement about incorporating Equium's capabilities and its commitment to prioritizing the right areas of growth.

Conclusion The conclusion will summarize the key points discussed in the article, emphasizing RAD AI's success, innovative products, and promising future. It will reiterate the company's goal of augmenting radiologists and improving the efficiency of radiology reports.

RAD AI: Automating Radiology Reports for Enhanced Efficiency

Introduction Hello, this is Brian Casey of Casey Insights, reporting from the Biotech Showcase meeting in San Francisco. Today, we had the pleasure of interviewing Doktor Gurson, the CEO of RAD AI, an AI developer based in San Francisco. In this article, we will dive into the world of RAD AI and explore their groundbreaking contributions to the field of radiology.

About RAD AI RAD AI was founded in 2018 by Dr. Chang, a radiologist with a deep understanding of both radiology and artificial intelligence. The company aims to augment radiologists by developing AI algorithms that automate repetitive tasks and enhance the efficiency of radiology reports.

RAD AI Omni: Automating Radiology Reports One of RAD AI's notable achievements is the development of RAD AI Omni, their flagship product. With RAD AI Omni, radiologists can eliminate repetitive work involved in creating the impressions section of their reports. This AI algorithm customizes the language to match the radiologist's own style, ensuring a seamless and personalized experience.

The Importance of Radiology Reports Radiology reports play a crucial role in patient care, aiding in the accurate diagnosis and timely treatment of various conditions. RAD AI recognizes the significance of these reports in the medical field and has focused on revolutionizing the process of creating them.

RAD AI Continuity: Closing the Loop on Incidental Findings RAD AI has expanded its offerings with RAD AI Continuity, a product designed to close the loop on incidental findings. By using the follow-up manager feature, health systems can effectively manage and communicate incidental findings, ensuring timely follow-up actions are taken.

Partnership with Equium for Demand Forecasting In an exciting move, RAD AI recently acquired Equium, a company founded by radiologists with expertise in demand forecasting. This partnership presents an opportunity for RAD AI to optimize staffing levels and anticipate the demand for radiology services accurately.

Exciting Developments in Smart Worklist Product RAD AI's collaboration with Equium has paved the way for exciting developments in their smart worklist product. By incorporating Equium's demand forecasting capabilities, RAD AI aims to revolutionize the scheduling of radiologists' shifts, ensuring optimal staffing levels.

Growth and Commercial Success of RAD AI RAD AI has witnessed exponential growth and commercial success since the launch of RAD AI Omni in 2021. With partnerships established with top radiology groups in the US, RAD AI's revolutionary solutions are making a significant impact in the field.

Future Plans and Priorities RAD AI envisions a future filled with innovation and growth. Their recent acquisition of Equium further strengthens their capabilities, and the company is committed to prioritizing the right areas of development to continue delivering exceptional value to radiologists and healthcare systems.

Conclusion RAD AI's journey towards automating radiology reports has been nothing short of remarkable. By augmenting radiologists with their cutting-edge AI algorithms, RAD AI is revolutionizing the field, improving efficiency, and contributing to better patient outcomes. With their focus on innovation and growth, the future looks promising for RAD AI and the field of radiology as a whole.

Highlights:

• RAD AI's flagship product RAD AI Omni automates the creation of impressions section in radiology reports, eliminating repetitive tasks.
• RAD AI Continuity closes the loop on incidental findings with its follow-up manager feature, ensuring Timely actions are taken.
• Partnership with Equium brings expertise in demand forecasting, allowing RAD AI to optimize staffing levels effectively.
• Exciting developments in the smart worklist product, incorporating Equium's capabilities, revolutionize radiologists' shift scheduling.
• Commercial success and partnerships with top radiology groups signify RAD AI's impact and growth in the industry.