Search Results for: simon harris

Artificial intelligence (AI) technologies had a significant presence at the European Society of Radiology's annual meeting, the European Congress of Radiology (ECR) 2018. According to a new report published by Signify Research, however, the buzz wasn't as strong as it was at RSNA 2017 in Chicago.

The global market for artificial intelligence and machine learning in medical imaging, comprising software for automated detection, quantification, decision support, and diagnosis, is expected to see a ‚"period of robust growth‚" and eclipse $2 billion by 2023, according to a new report from U.K.-based Signify Research.

The last two-to-three years we have seen Philips complete its transformation into a pure-play healthcare technology vendor.

2018 was a record year for the world ultrasound equipment market, with revenues increasing by 6.8%, tipping the market over the $7 billion mark for the first time.

From surgery assistance to virtual nursing, next-level AI systems help healthcare providers to facilitate and accelerate cancer diagnostics and treatment response.

With its improved productivity and accuracy and more personalized experience, AI is revolutionizing medical imaging.

Despite the handheld ultrasound market, "largely fail(ing) to live up to expectations‚" during its first 10 years, Signify Research sees more opportunities for the segment as product improvements and market adoption both advance.

This year marks the 10th anniversary of the launch of the first handheld ultrasound scanner, Vscan from GE Healthcare, yet the market has largely failed to live up to expectations.

In 2018, Capital Investments in startup companies developing medical imaging AI solutions reached almost $580 million - more than double the 2017 amount of $270 milllion, according to a new market report published 31st January by Signify Research.

As the use of artificial intelligence (AI) in Medical Imaging gains pace, specific use-cases are emerging where AI-enabled image analysis tools are delivering clear clinical and/or commercial benefits.

It's touted as the first use of network analysis as a method to examine the relationships between common symptoms suffered by a large group of cancer patients undergoing chemotherapy.

Developments in vastly scalable IT infrastructure will soon increase the rate at which machine learning systems gain the capacity to transform the field of medical imaging across clinical, operational and business domains.