Beyond theory, MEDNAX Radiology Solutions is using practical AI to impact patient care today, while paving the way to the future of radiology.
Artificial intelligence (AI) will enhance the practice of radiology more than any technology since Wilhelm Roentgen’s x-ray. This is no longer speculation. Our AI models are at work today, helping prioritize critical cases and improve reporting accuracy and compliance. But we’re just getting started.
AI will permeate the practice and business of medical imaging, to the benefit of both patients and practitioners. In coming years, we will see AI
- Empower radiologists to rapidly detect ever more subtle, serious and rare abnormalities, using complex strings of hundreds, even thousands, of nested AI searches
- Conquer mountains of administrative burden, creating and auditing reports in real time based on natural language inputs; ensuring complete and relevant reporting through content-driven prompts; and automating time-consuming tasks, like extracting significant findings from prior reports, and recording measurements
- Strengthen healthcare delivery through demonstrated quality improvements, such as faster turnaround times, intelligent prioritization of critical cases, greater reporting accuracy, and compliant billing practices
MEDNAX has assembled a dedicated team of practicing radiologists and computer scientists with unsurpassed AI expertise.
Connect with us at RSNA 2019, December 1-6 at McCormick Place in Chicago, where my colleagues will present examples of practical AI applications currently impacting patient care, discuss critical process elements that drive successful radiological AI program development and refinement, and reveal our long-term strategies for achieving the potential of AI in radiology.
We are excited to lay the foundation for radiological AI on which the future will be built.
