Radiology and radiomics resources

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

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

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, 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