Outpatient medical imaging provider SimonMed Imaging presented research at the 2023 Radiological Society of North America Annual Meeting, focusing on the impact of artificial intelligence (AI) in reducing turnaround time and improving X-ray accuracy, particularly in fracture diagnosis. These findings underscored the significant benefits of AI in medical imaging, SimonMed officials say.
“The groundbreaking results of our study unequivocally demonstrate the transformative impact of AI in revolutionizing diagnostic efficiency and accuracy,” Sean Raj, MD, chief innovation officer at SimonMed. “By embracing cutting-edge technology, such as AI, we are not only accelerating patient care but also ensuring the highest standards of precision. SimonMed remains steadfast in its commitment to ‘seeing tomorrow today,’ blending the best of human expertise with AI advancements for a future where healthcare reaches new heights of excellence.”
The retrospective multi-center study of consecutive XR studies was sourced from SimonMed’s nationwide outpatient imaging centers and showed a significant reduction in report turnaround time for examinations with fractures. The AI turned around reports 82% faster than readings without the automation technology.
In the performance analysis portion of the study to evaluate quality, 1,442 patients across 14 SimonMed centers were used to determine the technology has a 96.9% to 100% sensitivity range per bone. While this data proves AI assistance will improve patient care and decrease burnout among radiologists, SimonMed will continue to have its team of the world’s top radiologists reading all reports first to ensure the most accurate results possible.
“Through the use of AI, we are not only able to help radiologists work more accurately and efficiently, but we can also use entirely new methods for diagnoses,” says John Simon, MD, CEO of SimonMed.
