Many radiology practices talk about visionary AI, but there are only a few implementing AI into their workflows.
In my latest blog post with MEDNAX Radiology Solutions I discuss how together with my colleague, Imad Nijim, CIO at MEDNAX Radiology Solutions, we led the development of the AI model validation functionality within MIP.
Director of Software Engineering – Machine Learning & DevOps. Mr. Baker is committed to enhancing patient care through process improvement and technological innovation. He leads the vRad team responsible for the industry’s most advanced radiological workflow system, including the design, development and integration of leading-edge AI applications. He promotes a collaborative culture as the foundation of these systems that help radiologists provide diagnostic insights more efficiently and effectively every day.
Two components are essential to successfully establish, develop and sustain applied AI in radiology: Uncompromised collaboration between radiologists and computer scientists, and access to a constant flow of data that is representative of a highly diverse population. This is the foundation of MEDNAX Radiology AI.
Our AI models are at work today prioritizing critical cases, improving reporting accuracy and assisting billing compliance. But we’re just getting started. AI will permeate the practice and business of medical imaging to empower radiologists, conquer mountains of administrative burden and strengthen health care delivery.
Non-Clinical Inquiries:
Toll-Free:
800.737.0610 Outside U.S.:
011.1.952.595.1111
11995 Singletree Lane
Suite 500
Eden Prairie, MN 55344
