In particular, protocol management solutions to harmonise protocols across a fleet of systems was a prominent theme. “One-click” scan set up was also a widely touted feature of new systems. Typically, setting up CT and MR systems for scans, especially more complex protocols, can take substantial technician time, sometimes as much as 15-20 minutes per scan. Leveraging information from the RIS and automated patient positioning technology, new modality workstation and on-gantry software can support much faster setup, in many cases down to a single “click”. This not only saves technicians time, but also allows scheduling scan appointments closer together, providing a tangible improvement in scan throughput for a provider.

Protecting, retaining and supporting the radiology workforce is more fundamental than ever for healthcare providers against the backdrop of staff shortages. Whether this be by assistance in caseload prioritisation through embedded AI at the point of care, one click examinations, or by AI-powered smart-protocolling, intelligent systems to limit the reliance on the operator experience or expertise, these are themes we expect to see recurring through shows in this year and into next.


What to expect next?
As well as demonstration of the above across imaging product lines, medical imaging vendors are predicted to further showcase how their systems can be even more efficient, ergonomic, and intelligent this year and into RSNA. AI is expected to not only proliferate in diagnostic imaging, but also in image-guided therapy applications, such as in interventional cardiology. Within the CT market, photon counting CT is expected to have strengthened further clinical validation and evidence with growing commercial traction and more installs.

We also expect to increase focus from healthcare providers and vendors on screening, exemplified by the growing focus at ECR 2023. Lung screening in particular is gathering momentum in Europe, which will have substantial influences on X-ray, CT and AI industry segments in the mid-term future. Additionally, new research supporting the use of imaging and the potential of AI deployment in screening programmes to not only support earlier detection of diseases, but also highlight incidental findings and early biomarkers of disease, will go a long way to shaping the make-up of the medical imaging industry in the long-term future. Despite the misstep in 2022, this year’s ECR pointed to a bright future of innovation, leveraging technology to support efficiency, safety and improved outcomes for patients and staff alike.


About the author: Bhvita Jani is a research manager at Signify Research, an independent supplier of market intelligence and consultancy to the global healthcare technology industry. Its major coverage areas are Healthcare IT, Medical Imaging and Digital Health. Our clients include technology vendors, healthcare providers and payers, management consultants and investors. Signify Research is headquartered in Cranfield, U.K.

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