Vega Imaging Informatics will be participating in RSNA 2024: Building Intelligent Connections in Chicago, Illinois from December 1–4th, centering on the future of radiology and the empowering nature of AI. Visit our vendor booth in the AI Showcase, located in South Hall A (booth #5922), as we explore how to intentionally and intelligently build the right connections between people and technology, along with AI innovations that move radiology forward.
Through three core divisions, including Vega Data, Vega Pro, and Vega Tech, along with a team of Certified Imaging Informatics Professionals (CIIPs), we offer data acquisition, data commercialization, managed services and AI technology solutions to help healthcare organizations and AI imaging companies meet organizational and/or research goals, increase efficiency, overcome challenges, and improve overall financial health. Visit Vega’s booth to discover what we can offer, including detailed information about our product and service offerings and partnership opportunities.
Connect with us at RSNA by scheduling a meeting with Vega’s President and CEO, Luke Bideaux: SCHEDULE A MEETING
Related posts:
New Article from Luke Bideaux Now Available on AuntMinnie.com
Luke Bideaux Nominated for AuntMinnie.com Minnie
AuntMinnie.com’s RSNA 2019 Video Features CEO Luke Bideaux
Vega CEO Discusses Imaging Informatics in ASRT Publication
Vega Imaging Informatics Completes Rebranding Initiative
Vega Partners with NewVue to Enhance Radiology Workflows
Vega Partners with Lygase to Advance Imaging with AI
Vega CEO Featured on Imaging Informatics Unplugged
Vega Partners with MD.ai to Enhance Radiology Workflows
Vega Forms Strategic Alliance with Asher Orion Group
Vega Partners with CARPL.ai to Improve Radiology Workflows
Vega Partners with Singularity Health for AI Data Access
Vega CEO Luke Bideaux Joins ABII Board of Trustees
Vega Curates Largest DBT Dataset with Histology Outcomes
Is AI Revolutionizing Image Management Strategies?
How Can AI Automate Radiology Reporting Workflows?
FHIR for Imaging AI: What HL7 v2 Couldn’t Deliver
Do Imaging AI Solutions Have an ROI?
Workflow-Driven Strategies for Imaging Success
Stanford’s Journey in Digital Pathology