The annual meeting of the Radiological Society of North America is currently taking place at McCormick Place in Chicago, bringing together imaging, IT, and informatics professionals from around the world. This event showcases new hardware and software innovations, as well as highlights new clinical advancements in the field.
One of the major trends at the conference is the impact of artificial intelligence on the imaging profession. A recent KLAS study, titled Imaging AI 2024, reveals that the number of FDA-approved AI tools for imaging has skyrocketed to over 300 in just a few years. This rapid growth in AI adoption is transforming the way imaging organizations operate, with more than 50% now utilizing AI algorithms for various imaging use cases.
To gain a deeper understanding of the evolving landscape, KLAS surveyed over 200 organizations, including imaging groups and health systems, to identify which AI tools are gaining traction in the market. The report highlights the increasing adoption of AI platforms, operational automations, and reporting tools within the imaging industry.
At the RSNA conference, several companies are showcasing their latest imaging innovations. Agfa is integrating CARPL.ai into its Enterprise Imaging platform, offering radiologists enhanced flexibility and efficiency. Aidoc introduced its CARE1 foundation model for CT imaging, designed to improve diagnostic accuracy and workflow efficiency through clinical AI reasoning.
Fujifilm unveiled a range of new imaging systems, including AI-powered enhancements for MRI and ultrasound imaging. GE Healthcare showcased its Pristina Via mammography system, aimed at improving the patient screening experience and streamlining workflow efficiencies. Hyland presented its Cloud Imaging SaaS tool for AI-enabled insights and NilShare for secure image sharing without the need for costly CD burning.
Konica Minolta and Fovia announced a partnership to offer advanced visualization technology in Konica Minolta’s Exa PACS, providing clinicians with secure and scalable 3D visualization capabilities. Lunit collaborated with AstraZeneca to develop an AI-enabled digital pathology tool for predicting tumor mutations in non-small cell lung cancer.
Siemens Healthineers announced a $105 million partnership expansion with Ohio State University’s Wexner Medical Center to establish a new center for imaging excellence. This collaboration will focus on developing new imaging applications for various disease cases, leveraging Siemens’ expertise in imaging technology.
Overall, the RSNA conference is a hub of innovation and collaboration, showcasing the latest advancements in imaging technology and highlighting the transformative impact of artificial intelligence on the healthcare industry.
