If it’s the week after Thanksgiving, the annual meeting of the Radiological Society of North America is probably being held at Chicago’s McCormick Place. From December 1 to 5, tens of thousands of imaging, IT and informatics professionals from more than 120 countries around the world will gather to see new hardware and software up close and learn about new clinical innovations.
As in other areas of healthcare, artificial intelligence is transforming the imaging profession, and a new KLAS study shows how quickly that change is happening.
The research report, Imaging AI 2024, shows that the number of FDA-approved AI tools for image processing has ballooned to more than 300 in recent years, and there are few signs of slowing down. As the regulatory landscape changes, so too does the thinking and adoption of new image processing AI platforms, operational and reporting automation, and other AI tools.
KLAS says, “Just over 50% of organizations surveyed have started using AI algorithms in at least one image processing use case, compared to 17% of organizations surveyed who have piloted or implemented an AI solution. This is a significant increase from 2018, when it was ”
To understand how AI is changing the landscape of diagnostic imaging and radiology, KLAS researchers surveyed more than 200 organizations. Approximately 25% of these are diagnostic imaging groups and the rest are U.S. health systems. “Crowded market”. Access the new image report here.
Meanwhile, here are just a few of the Image IT news stories from Chicago this week.
Agfa introduces the integration of CARPL.ai into the AGFA Healthcare Enterprise Imaging Platform, providing enhanced flexibility and efficiency for radiologists. RUBEE for AI expands access to CARPL’s marketplace of 140 applications and provides an integrated platform that enables providers to manage large-scale AI deployments and leverage its value across clinical domains, the company said. states.
iDoc has announced a new CARE1 foundation model for CT imaging. This stands for Clinical AI Reasoning Engine Version 1, which the company says was developed to improve the accuracy and speed of clinical AI and minimize diagnostic delays, and was trained on millions of tests. , says it is the first step in a multi-year investment in the CARE framework. , optimize workflows and improve patient outcomes.
Fujifilm launches several new products, including a 1.5T MRI system with AI-powered workflow enhancements, an open 0.4T MRI system, a next-generation ultrasound system with cognitive technology for deep tissue visualization, and other news. We have announced a new imaging system, RSNA. It combines a compact fluoroscopic C-arm and two digital radiography suites into one.
Among other announcements at RSNA, GE Healthcare is promoting its new Pristina Via mammography system designed to improve the screening experience for both patients and technologists. According to GE, this provides diagnostic imaging professionals with a new suite of cutting-edge tools that balance the demands of diagnostic accuracy and fast-paced workflows to promote more patient-centered breast care, and is the world’s leading It is said that this technology could help improve workflow efficiency amid the current shortage of engineers.
Hyland is designed as a cloud imaging SaaS tool that combines multiple disciplines for clinical imaging content and AI-enabled insights for clinical research, as well as a cost-effective image sharing approach to securely share data. It introduces some of its own new advances, such as NilShare. Transfers imaging data without a VPN, eliminating the need for costly CD burning and ripping.
Konica Minolta and Fovia have partnered to provide advanced visualization technology with Konica Minolta’s cloud-based Exa PACS. The partnership aims to provide customers with state-of-the-art 3D visualization and segmentation capabilities that are secure, fast, flexible and scalable, the companies said. Because the tool is delivered via the AWS cloud, they say it provides flexibility for clinicians while providing significant benefits for healthcare organizations in controlling costs.
Lunit, a cancer diagnostic and treatment technology developer, has entered into a new collaboration with AstraZeneca to develop Lunit SCOPE Genotype Predictor, an AI-enabled digital pathology tool that can analyze H&E slide images to predict the likelihood of tumors harboring NSCLC. announced a partnership. The companies said these include driver mutations such as epidermal growth factor receptor mutations.
Siemens Healthineers, also in news at RSNA, recently signed a 10-year, $105 million partnership expansion to establish an imaging center of excellence at The Ohio State University Wexner Medical Center. For more than 15 years, Varian, a subsidiary of Healthineers and Siemens, has provided most of the imaging equipment used at Wexner, including MRI, CT, molecular imaging, X-ray, interventional radiology, and radiation oncology. . At the new Center for Excellence, Siemens scientists will collaborate with clinical and research teams across Ohio to develop new imaging applications for a variety of disease cases.
These are just a few of the hundreds of announcements made at RSNA this week. See here for a longer list.
