Healthcare IT News February 26, 2025
Artificial intelligence reduced scan times, sometimes by 30-50%. Diagnostic accuracy improved. And the chances of missed diagnoses were reduced, improving patient outcomes.
At SimonMed Imaging, the primary challenge with full-body MRIs was achieving both accuracy and efficiency.
THE CHALLENGE
Traditionally, full-body MRIs rely solely on radiologists to interpret vast amounts of imaging data – often thousands of images – which is both time-intensive and prone to variability and human error. Imaging and screening centers faced challenges of delays in delivering timely results due to the requirement of manual interpretation of results.
“Another key challenge was the potential for human error, especially when identifying subtle abnormalities that could be...
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