Road to RSNA 2023: Imaging Informatics Preview

In many respects, AI has come to dominate the field of imaging informatics research, a trend that will be evident at RSNA 2023. In this stop on the Road to RSNA,  we take a look at AI as it is being tested in various imaging modalities for communication, analysis, efficiency, organization, and problem-solving. Among them are tests of the effectiveness and accuracy of large language models (LLMs) such as ChatGPT, Bard, and others. We bring you previews of comparison studies of LLMs in generating radiology reports and consumer-friendly health information to support lung cancer prevention, screening, and education. With the accuracy and appropriateness of LLM outputs providing major obstacles that hinder formal adoption of these models in healthcare interactions, researchers are assisting some LLM qualification efforts in radiology through prompt engineering and adjudication, as we’ll point out in a few of the previews in this sampling.  One session will look at potential integration issues with AI into the radiology workflow in real-world clinical environments. The presenters say such issues can be solved with the addition of a cloud-based software layer. Next, we’ll look at the performance of classification models for correctly prioritizing STAT imaging orders in the emergency room and outpatient services.  Likewise, an imaging informatics track features a study using standardized, consensus-based macros to improve tracking and follow-up of actionable incidental fin...
Source: AuntMinnie.com Headlines - Category: Radiology Authors: Tags: 2023 2023 Imaging Informatics Preview Source Type: news