AI is transforming imaging as FDA approvals continue apace

If it’s the week after Thanksgiving, the annual meeting of the Radiological Society of North America is due to take place at McCormick Place in Chicago. And so it is, with tens of thousands of imaging, IT and computing professionals from more than 120 countries around the world gathering from December 1 to 5 to get up close to new hardware and software and learn about new clinical innovations .

Like everything in healthcare, artificial intelligence is transforming the field of imaging, and a new KLAS study shows just how quickly the changes are happening.

The research report, Image AI 2024shows how the number of FDA-approved AI imaging tools has risen to more than 300 in recent years, and there are few signs of these approvals slowing down. As the regulatory landscape has changed, so too have attitudes toward and adoption of new AI platforms for imaging, operational and reporting automations, and other AI tools.

“Just over 50% of organizations surveyed are beginning to use AI algorithms for at least one imaging application,” notes KLAS, which is “a significant jump from 2018, when 17% of organizations surveyed was testing or working on an AI solution. “

To get a sense of the many ways AI is changing the imaging and radiology landscape, KLAS researchers surveyed more than 200 organizations—about 25% of them imaging groups and the rest from U.S. healthcare systems—to better understand which tools preference is given to the ‘busy market’. Access to the new imaging report here.

In the meantime, here’s just a small sampling of the IT news presented in Chicago this week.

Agfa demonstrates the integration of CARPL.ai into the AGFA Healthcare Enterprise Imaging platform, providing radiologists with greater flexibility and efficiency. RUBEE for AI provides comprehensive access to CARPL’s 140-application marketplace, providing a unified platform that can help providers manage AI adoption at scale and leverage its value in clinical domains, the company says.

Aidok has announced its new one CARE1 basic model for CT imaging. It stands for Clinical AI Reasoning Engine, version 1, and the company says this is the first step in a multi-year investment in the CARE framework, which was developed – trained on millions of exams – to improve precision and speed in clinical AI. to help reduce diagnostic delays, optimize workflows and improve patient outcomes.

Fujifilm has announced several new imaging systems RSNA, among other newsincluding a 1.5T MRI system with AI-powered workflow enhancements, an open 0.4T MRI system, a next-generation ultrasound system that uses cognitive technology for deep tissue visualization, an all-in-one compact fluoroscopy C-arm and two digital radiography suites.

GE Healthcarein the midst of other announcements at RSNA, touts his new one Pristina Via mammography systemthat it is designed to improve the screening experience for both patients and technologists. It provides imaging professionals with a new set of advanced tools that balance the demands of diagnostic accuracy and rapid workflows to enable more patient-centered breast care, GE said, and could help streamline workflow efficiency amid a global technologist shortage .

Hyland presents some of its own new developments, including those of the manufacturer SaaS for cloud imaging tool, which combines clinical imaging content from multiple specialties for AI-enabled insights for clinical research NilSharedesigned as a cost-effective image sharing approach that securely transfers image data without a VPN, eliminating the need for expensive CD burning and recording.

Konica Minolta And Fovia are working together to offer Konica Minolta’s advanced cloud visualization technology Exa PACS. The partnership aims to provide customers with industry-leading 3D visualization and segmentation functionality that is secure, fast, flexible and scalable, the companies say. The tools, offered through the AWS cloud, will provide clinicians with flexibility while providing significant cost management benefits for healthcare organizations, they say.

Lunitwhich develops technologies for cancer diagnostics and therapy, announced a new collaboration with AstraZenecato develop an AI-enabled digital pathology tool – Lunit SCOPE Genotype Predictor, which is capable of analyzing H&E slide images to predict the likelihood that the tumor harbors NSCLC driver mutations such as epidermal growth factor receptor mutations, the companies said.

Siemens Healthineerswhich is also one range of news at RSNA recently completed a $105 million, 10-year partnership expansion that will see the creation of a new Center for Imaging Excellence in The Ohio State University Wexner Medical Center. For more than 15 years, Healthineers and Siemens subsidiary Varian have supplied most of the imaging equipment – ​​MRI, CT, molecular imaging, X-ray, interventional radiology and radiation oncology – used at Wexner. At the new Center for Excellence, Siemens scientists will collaborate with clinical and research teams across the state of Ohio to develop new imaging applications for various disease cases.

This is just a small selection of the hundreds of announcements on RSNA this week. For a longer list, see here.