ILD-RADS was developed to address issues with inconsistency when reading high-resolution CT scans of the lungs in patients with a suspected interstitial lung disease.
Prior attempts at imaging large fossils such as mammoth tusks failed to capture the full artifact with just one scan, instead requiring multiple partial scans that were subsequently pieced together.
“Although regularly assessing and updating these models is necessary to ensure accurate performance, there is no standard approach to addressing model drift.”
Keith J. Dreyer, DO, PhD, FACR, American College of Radiology (ACR) Data Science Institute Chief Science Officer, explains how radiology vendors have developed AI app stores to make it easier to access new FDA cleared AI algorithms.
Keith J. Dreyer, DO, PhD, FACR, American College of Radiology (ACR) Data Science Institute Chief Science Officer, explains 5 developments to watch for in radiology artificial intelligence (AI).
"Gen AI can help tackle repetitive tasks and provide insights into massive datasets, saving valuable time," Thomas Kurian, CEO of Google Cloud, said Tuesday.
