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Fovia AI Unveils AI Solutions at RSNA 2024 to Transform Radiology

Fovia AI Unveils Radiology AI Solutions at RSNA

December 2, 2024 – Fovia Ai, a subsidiary of Fovia, is all geared up to make a massive appearance at the 110th Scientific Assembly and Annual Meeting of the Radiological Society of North America (RSNA 2024) through its innovative offering, F.A.S.T. aiCockpit. 

The conference named “Radiology Reimagined AI, Innovation, and Interoperability in Practice” will be held from December 1 to December 4 at McCormick Place in Chicago, during which the company will gather with other industry giants to showcase the possibility of AI in radiology.

F.A.S.T. aiCockpit is a thorough artificial intelligence display that can be used concurrently with several algorithms to optimize radiological processes. It shows the results of different systems on one screen, which assists radiologists in analyzing results and simplifies the workflow. 

This new-age solution addresses challenges inherent in traditional radiological operations, where multiple people often need to look into data generated by various AI systems. By integrating such tasks, the F.A.S.T. aiCockpit contributes to enhanced diagnostic precision and may allow dedicating additional time to other crucial patient requirements.

By bringing together concepts of Operational Interoperability, RSNA 2024 “Radiology Reimagined” will illustrate how AI integration can be performed. It will include the most current standards, and these will include IHE AI Results, IHE AIR & IRA profiles, CDS hooks, HL7 FHIR, HL7 FHIRcast, and semantic standards, which are the RSNA Common Data Elements (CDEs), and Radiology Lexicon (RadLex).

These standards impact the formation of the set of requirements for organizations regarding the application of AI developments in radiology practices, thus facilitating the process and improving patient health outcomes.

Fovia Ai will exhibit its products at the event and demonstrate the compatibility of the company’s software with platforms of selected industry giants such as Epic, GE Healthcare, Hoppr, Icometrix, Laurel Bridge, Microsoft, Milvue, PaxeraHealth, Qvera, Siemens Healthineers, Smart Reporting, and Visage Imaging. 

This kind of event exemplifies how the company is willing to engage other market actors to guarantee that radiologists have the best tool, making their productivity easier and impressive.

Speaking enthusiastically about this exciting collaboration, Khan Siddiqui, MD, CEO of HOPPR, will bring the future of radiology through integrated AI solutions. He illuminatingly pointed out how these innovations made it easier to achieve several tasks and improved the level of patient care seen in different wards. 

Alexis Laugerette, a Global Product Manager at Siemens Healthineers, echoed these sentiments and noted that interoperability is key to enabling AI while also benefiting radiologists. He also emphasized the company’s leadership in creating and supporting guidelines that improve the implementation of AI solutions in radiology.

AI will be presented during the RSNA 2024 by 20 exhibitors, offering 25 products with real-life demonstrations of its effectiveness. The live demonstrations of Fovia AI’s solutions will focus on how AI could be applied to simple radiological diagnosis and how it can potentially transform diagnostic work in this specialty.

Fovia Ai’s participation in the conference held in RSNA 2024 shows Fovia Ai working to be on the vanguard of demanding progressive radiological applications of Artificial Intelligence and Informatics. As the role of the technology becomes increasingly incorporated with other actors in the field and its scope of use grows, the company’s mission is to transform diagnostic radiology for the benefit of patients while making the function of medical imaging more effective and precise.

Source: https://fovia.com/fovia-ai-press-rsna-2024/

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ToAI Team
Fueled by a shared fascination with Artificial Intelligence, the Times Of AI journalists team brings together various researchers, writers, and analysts. We aim to provide a comprehensive knowledge of AI for a broad audience of the Times Of AI. Through in-depth analysis of the latest advancements, investigation of ethical considerations around AI development, AI governance, machine learning, data science, automation, cybersecurity, and discussions about the future impact of AI across various sectors, we aim to empower readers with the details they need to navigate this rapidly evolving field.
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