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Stop Worklist Cherry-Picking and Lighten your Radiologist Workload
When sorting through your to-do list, it’s human nature to save the worst tasks for last. Radiologists are no different. As the queue of pending reads stacks up and the radiologist workload grows, the more routine, simple reads on the worklist are completed first. But this process of worklist cherry-picking can create major workflow problems
How To Complete a Cancer Read in Under Two Minutes
For radiologists, cancer analysis and reporting represents one of the most complex, time-intensive tasks in their day. So when we say that AI Metrics can help radiologists cut cancer read times in half, it’s understandable that we sometimes encounter skepticism. However, there’s no exaggeration behind our claims of dramatically reducing read times for cancer patient
As Originally Published in Radiology Today While AI was initially utilized in academic settings for research, the realization that AI solutions can automate and/or standardize specific complex image interpretation tasks in high-value workflows has driven acceptance in clinical settings. For example, within the past few years, AI in CT imaging has gained considerable acceptance. The
Cut Cancer Imaging Read Times in Half
When we founded AI Metrics, our guiding philosophy was simple: To help radiologists move twice as fast through the evaluation of advanced cancer patients. Now, after years of intense development, our AI-enabled radiology software is doing just that – consistently delivering cancer imaging reads in half the time. In this post, we’ll share how AI
What’s next in cancer imaging?
As Originally Published on AuntMinie.com Cancer is the second leading killer of Americans, and that means that nearly every single reader of this article will be (or have a family member) impacted by cancer. This year, nearly 1.9 million people will be diagnosed with cancer in the U.S.,1 a figure that has been growing consistently over the
AI Metrics Research Received “Best of AJR” Award by the American Journal of Roentgenology
AI Metrics, an early stage radiology software company, announced that the company’s recently published research in the American Journal of Roentgenology (AJR) has been awarded the Best of AJR in the Gastrointestinal Imaging section for 2022. AI Metrics co-founder Dr. Andrew Smith developed an innovative digital biomarker for accurately detecting and staging liver fibrosis and