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Radiology is no longer a separate and isolated unit where an imaging order is submitted, and a report is sent out. RSNA this year illustrated how radiology is becoming more and more incorporated into the wider healthcare provider organisation. With IT having spread throughout wider healthcare and artificial intelligence slowly being accepted to increase efficiency and improve diagnostic accuracy, the stage is now set for strengthening the interactions between radiology and the rest of the healthcare organisation.

After a record year in 2018, the current world trade slowdown is taking its toll on the ultrasound market and the outlook for 2019 is for slower growth.

AI was undoubtedly the belle of the ball at RSNA 2017, and rightly so. As the meeting drew to a close, a report by the Care Quality Commission (CQC) in the UK revealed that a NHS hospital had a backlog of 23,000 chest x-rays acquired over the previous 12 months that hadn't been formally reviewed.

The medical FPD market, totalling just under 78,000 units in 2022, witnessed a slight retraction in both units and revenue. The most significant decline was seen in mobile general radiography, which was attributed to a surplus during the pandemic. A decline was also seen for mammography due to a shortage of semi-conductors, inflation hikes, and a market correction following elevated investment in breast imaging systems in 2021 as budgets returned post-COVID. However, the resurgence of elective procedures, coupled with pent-up demand, contributed to the positive uptake of mobile C-arm technology.

In 2023, the CT equipment market witnessed a 3.2% decline in revenue year-over-year.

The world market for Electronic Health Records (EHR) and associated software, comprising PAS, clinical, interoperability, PHM and RCM solutions, is estimated to have been worth $23.0B in 2018 and is forecast to grow at a CAGR of 4.4% to $28.6B in 2023. This is according to a new report from Signify Research, an independent supplier of market intelligence and consultancy to the global healthcare technology industry.

Cone-beam technology is a relative newcomer to medical diagnostic imaging; until recently it has predominately been used in the world of dental healthcare. It has been marketed to the medical world on a small scale so far, but could it be the ‘next big thing' in medical imaging?

The application of machine learning in radiology is evolving at a rapid pace and whilst fully automated diagnostic systems are still several years away, there is a growing number of machine learning tools available now that are helping radiologists to improve their efficiency and to make better diagnoses.