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, vRad 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.
I am pleased to share that vRad has deployed two additional Artificial Intelligence (AI) models to our imaging platform, bringing the total to seven active models helping patients right now.
The first new model identifies pneumoperitoneum in chest CTs, and the second model identifies testicular torsion in ultrasound scans. Both conditions are critical, and timely diagnoses will have a positive impact on patient outcomes. As with all our innovation and product development, our models are immediately available to clients as part of our AI-enhanced on-the-ground and in-the-cloud radiology solutions.
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