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.
| Likelihood of hospitals to adopt AI technology |
|
|---|---|
| Facility Type |
Early adopter rating (on a scale of one to five) |
| Hospitals with 400 beds or more |
3.3 |
| All other facility types |
2.6 |
Regarding the prioritization of the ways that AI technology will be implemented, data gathered across x-ray, nuclear medicine, CT, MRI, and ultrasound modalities from 2021 through 2023 indicate the top two uses of AI are “AI/Machine Learning (ML) capabilities to improve image quality output,” with 51% of respondents ranking this as their first or second priority out of five available options, and “AI/ML capabilities to improve radiology’s ability to more precisely diagnose patient conditions and enhance personalized medicine,” with 48% of respondents ranking this as a top two priority.
The clinical and workflow benefits of incorporating AI into radiology are starting to positively impact patient care and radiologist burnout by automating routine and tedious tasks. This is an exciting area to watch for future advances and developments.
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Davin Korstjens is a Senior Market Research Program Manager at IMV Medical Information Division, part of Science and Medicine Group.
The 2023 Artificial Intelligence in Diagnostic Imaging Landscape report explores market trends related to service contracts for diagnostic imaging equipment in U.S. hospitals. The report was published in October 2023 and summarizes AI clinical and business developments in 2023 as well as primary data analysis of responses from 959 radiology and biomedical managers and administrators who participated in IMV's nationwide surveys from 2021-2023 covering X-ray, nuclear medicine, CT, MR mammography and ultrasound modalities. Over 130 vendors are covered in this report including GEHC, Philips, and Siemens.
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