An Emerging Utility of AI Radiology: Workflow Optimization

In this blog post

In this blog post, we will explore how AI radiology services address burnout issues by optimizing workflow, improving image quality, and helping reduce the burden on radiologists. We will highlight current tools, such as AIR Recon DL and Rad AI Nexus, to illustrate how they contribute to workload optimization.

AI and the Breast Health Journey, Part 1

The Breast Density Dilemma In this 5-part Breast Health Series

The Breast Density Dilemma In this 5-part Breast Health Series, we explore the challenges related to breast cancer screening and the role AI can play in early detection.

AI Tools Used in the Detection of Breast Cancer

The Limits of Mammography In this 5-part Breast Health Series

When breast cancer is detected early, before it has had the opportunity to spread to the lymph nodes or other parts of the body, the 5-year survival rate is much higher. This week’s Domain Knowledge reviews AI tools used in the early detection of breast cancer.

AI Trends in Diagnosing Colorectal Cancer

According to the American Cancer Society

According to the American Cancer Society, colorectal cancer is the third most common cancer diagnosed in both men and women in the United States. Colorectal cancer (CRC) is the second most common cause of cancer deaths when men and women are combined, and in 2021, it’s expected to cause around 52,980 deaths.

AI Matchmaking in Mammography: A Radiologist’s Guide to Quality and Safety

Having discussed how quality can be defined for your institution

Having discussed how quality can be defined for your institution, in this blog post, we’ll delve into how various stakeholders design quality and safety standards for the industry. We’ll aslo look at how to ensure that you, as a radiologist, are equipped with the knowledge and tools necessary to provide the highest standard of patient care amidst the challenges and opportunities presented by the emergence and adoption of AI in breast imaging.