Simon Harris of UK market research firm Signify Research discusses artificial intelligence and radiology at RSNA 2018.

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 world market for machine learning in medical imaging, comprising software for automated detection, quantification, decision support and diagnosis, is set for a period of robust growth and is forecast to top $2 billion by 2023, according to a new report from Signify Research, an independent supplier of market intelligence and consultancy to the global healthcare technology industry.

To date, most of the academic research and commercial activity in the field of machine learning for medical imaging has been driven by the US. Several of the leading US academic hospitals have established teams to develop and commercialise artificial intelligence solutions for the detection and diagnosis of diseases.