If it is the week after Thanksgiving, the annual meeting of the Radiological Society of North America must be held at McCormick Place in Chicago. And that’s what’s happening as tens of thousands of imaging, computer science and informatics professionals from more than 120 countries around the world gathered December 1-5 to see modern hardware and software up close and learn about modern clinical innovations.
Like everywhere else in healthcare, artificial intelligence is transforming the imaging profession, and modern KLAS research shows how quickly the changes are happening.
research report, AI Imaging 2024shows how the number of FDA-approved AI imaging tools has grown to more than 300 in just the last few years, with little sign that the approval process will sluggish down. As the regulatory landscape changes, so does the approach to and adoption of modern AI imaging platforms, operational automation and reporting, and other AI tools.
“Just over 50% of surveyed organizations are beginning to use AI algorithms in at least one image use case,” notes KLAS, which is “a significant jump from 2018, when 17% of surveyed organizations were piloting or using an AI solution. “
To understand the many ways AI is changing the imaging and radiology landscape, KLAS researchers surveyed more than 200 organizations – approximately 25% of them imaging groups and the rest US healthcare systems – to better understand which tools are favoring recognition in a “crowded market”. Access the modern imaging report Here.
In the meantime, here’s just a diminutive sample of some of the modern imaging innovations being unveiled in Chicago this week.
Agfa showcases CARPL.ai integration with the AGFA Healthcare Enterprise Imaging platform, offering radiologists greater flexibility and efficiency. RUBEE for AI offers expanded access to the CARPL marketplace of 140 applications and offers a unified platform that can lend a hand providers manage AI deployment at scale and realize its value in clinical domains, the company says.
Aidoc announced his news CARE1 base model for CT imaging. It stands for Clinical AI Reasoning Engine, version 1, and the company says it is the first step in a multi-year investment in the CARE platform, which has been developed – trained on millions of studies – to lend a hand augment the precision and speed of clinical AI: minimizing diagnostic delays, optimizing workflow work and improving patient outcomes.
Fujifilm announced several modern RSNA imaging systems, among other newsincluding a 1.5T MRI system with AI-based workflow improvements, a 0.4T open MRI system, a next-generation cognitive ultrasound system for deep tissue visualization, a compact all-in-one fluoroscopy C-arm, and two digital radiology sets.
GE Healthcareamong other announcements in RSNA praises its novelty Pristina Via with mammography systemwhich is designed to improve the quality of screening for both patients and technologists. According to GE, it offers imaging specialists a modern set of cutting-edge tools that balance the demands of diagnostic accuracy and rapid workflow to facilitate more patient-centered breast care, and can lend a hand streamline workflow amid a global shortage of technologists.
Hyland presents some of its modern achievements, including: SaaS for cloud imaging a tool that combines clinical imaging content across multiple specialties to deliver AI-driven insights for clinical trials, and NilSharedesigned as a cost-effective approach to image sharing that securely transmits image data without a VPN, eliminating the need for pricey CD burning and processing.
Konica Minolta AND Favia join forces to offer Konica Minolta’s advanced cloud visualization technology PACS exam. The partnership aims to offer customers leading 3D visualization and segmentation functionality that is secure, swift, pliant and scalable, the companies say. Offered via the AWS cloud, the tools will provide flexibility for physicians while also offering significant cost management benefits to healthcare organizations, they said.
Lunitawhich develops technologies for cancer diagnosis and therapy, announced a modern collaboration with AstraZenecathe companies said they have developed an artificial intelligence-enabled digital pathology tool, Lunit SCOPE Genotype Predictor, that can analyze H&E slide images to predict the likelihood of tumors containing NSCLC-causing mutations, such as epidermal growth factor receptor mutations.
Siemens Healthineerswhich also has a number of new products at RSNA, recently announced a 10-year, $105 million expansion of the partnership that will create a modern imaging center of excellence at The Ohio State University Wexner Medical Center. For more than 15 years, Healthineers and Siemens subsidiary Varian have provided most of the imaging equipment – MRI, CT, molecular imaging, X-ray, interventional radiology and radiation oncology – used at Wexner. At the modern center of excellence, Siemens scientists will collaborate with clinical and research teams across Ohio to develop modern imaging applications for a variety of disease states.