#United States #Chicago #Fovia Ai #F.A.S.T. aiCockpit #Radiology AI

Fovia Ai Showcases F.A.S.T.® aiCockpit® at RSNA 2024

Fovia Ai, a prominent subsidiary of Fovia, Inc., has announced its participation in the much-anticipated Radiology Reimagined AI exhibit during the RSNA 2024. This exhibit takes place from December 1 to December 4 at the McCormick Place, Chicago. Fovia Ai, recognized for its innovative strategies in advanced visualization for over two decades, will feature its cutting-edge F.A.S.T.® aiCockpit®—a universal AI viewer designed for AI algorithms that streamlines complex workflows in the radiological field.

What is the F.A.S.T.® aiCockpit®?

The F.A.S.T.® aiCockpit® represents a significant leap in radiological workflows. Instead of relying on multiple viewers to analyze different AI algorithm outputs, this tool provides a singular, optimized interface. This means radiologists can visualize and interact with all algorithmic results through one sophisticated platform, ultimately improving efficiency and collaboration.

Interoperability and Integration Standards

The RSNA event will serve as a platform to highlight the latest innovations in interoperability and integration standards essential for embedding AI within diagnostic radiology workflows. Attendees will witness first-hand the practical applications of standards including the Integrating the Healthcare Enterprise (IHE) AI Results Integrated Real-time Applications (IHE AIR) and HL7 FHIR. Additionally, they will observe how semantic standards such as RSNA Common Data Elements (CDEs) and Radiology Lexicon (RadLex) are pivotal in the function of the F.A.S.T.® aiCockpit®.

Live Demonstrations and Collaborations

At the exhibit, visitors can engage with AI integrations featured by around 20 exhibitors, showcasing 25 products that utilize real-world clinical scenarios. Live demonstrations will spotlight how Fovia Ai’s software works in tandem with various vendors, including notable names like Epic, GE Healthcare, and Siemens Healthineers. This collaborative exposure underscores Fovia Ai's commitment to enhancing radiology workflows through integration.

Quotes from Collaborative Companies:

• - Khan Siddiqui, MD, CEO of HOPPR: "Our partnership with Fovia Ai emphasizes our shared vision of leveraging integrated AI solutions to enhance radiology practices, making workflows more efficient and improving patient care."
• - Alexis Laugerette, Global Product Manager at Siemens Healthineers: "We proudly support various interoperability standards and are excited about our ongoing collaboration with Fovia Ai to improve the radiological reading workflow."
• - Philipp Matthies, Head of Research Innovation at Smart Reporting: "Working with Fovia Ai in demonstrating our jointly integrated platform illustrates how advanced AI is reshaping diagnostic workflows and enhancing accuracies."

Conclusion

Fovia Ai's participation in RSNA 2024 is not just a demonstration of technology but a strategic move to shape the future of radiology. Their focus on creating a unified platform for AI interactions signifies an ambitious drive to propel efficacy and seamlessness within the medical imaging landscape. For those interested in further details or wishing to arrange a demonstration of Fovia's complete product suite, they can visit the company's website or inquire at their RSNA exhibit.

In an era where healthcare demands transformative solutions, Fovia Ai stands at the forefront, proving that innovation and collaboration can indeed lead to remarkable improvements in patient diagnostic processes.