As AI use increases in radiology, clinical benefits come into focus

Davin Korstjens.Use of AI in diagnostic imaging has focused on ways the technology enhances clinical benefits and optimizes workflows, according to IMV’s recently published report, the 2023 Artificial Intelligence in Diagnostic Imaging Landscape. In 2023, there are AI applications for all major medical diagnostic imaging modalities. The clinical applications of AI in radiology focus on supporting radiologists in clinical decision-making with a focus on the areas of emergency medicine, stroke, cardiovascular disease, and Alzheimer’s. Workflow applications of AI in imaging, focus on image processing, radiologist reading workflow, patient scheduling, and communication. Combined, the clinical and workflow benefits brought about by the adoption of AI applications by radiology departments are expected to positively mitigate radiologist burnout. Looking at ratings across x-ray, CT, MRI, mammography, and ultrasound departments between 2021 and 2023 shows that larger hospitals with 400 beds or more are increasingly likely to be early adopters of AI technology than other site types. Across all modalities, these large hospitals had a rating of 3.3 on a scale of 1 to 5 (with 1 being low adoption and 5 high adoption), compared with other facility types with a rating of 2.6.  .tg {border-collapse:collapse;border-spacing:0;} .tg td{border-color:black;border-style:solid;border-width:1px;font-family:Arial, sans-serif;font-size:14px; overflow:hidden;padding:10px 5px;word-break:nor...
Source: AuntMinnie.com Headlines - Category: Radiology Authors: Tags: Imaging Informatics Artificial Intelligence Source Type: news