- First in the industry to adopt generative methodsAICombining clinical images with diagnostic reports
- generativeAIIt is expected to achieve a huge leap in diagnostic efficiency
CHICAGO, November 27, 2023/PRNewswire/ -- The boom in software such as ChatGPT has taken the world by storm, demonstrating the potential of generative AI not only to analyze existing data sets, but also to create new content. At the 2023 Annual Meeting of the Radiological Society of North America (RSNA), Siemens Healthcare showcased innovative ideas and technology prototypes based on generative AI. Unlike other companies that focus on text or image generation, Siemens Healthcare has taken a fresh approach to combine the two. Through the loading, linking, and preparation of the intelligent chat system, users can click on medical images to quickly locate and highlight the corresponding area in the report, and vice versa. More strikingly, AI can dynamically generate reports of diagnostic images and prioritize them according to importance, enabling physicians to process information more efficiently! 1。 In addition, Siemens Healthcare is also committed to applying generative AI to customer service and support, and the training of medical personnel. This makes generative AI an important part of the “smart imaging value chain” in the medical field, covering the entire imaging process from patient history to report generation.
Dr. Johannes Haubold, senior physician for clinical artificial intelligence integration at Essen University Hospital in Germany, said: “Through collaboration with Siemens Healthcare, we use artificial intelligence to scan a large number of databases to obtain detailed information about patients or diseases, thus providing clinicians with clear images. While some of these are still visions, these scenarios will become reality as large-scale language models evolve.”2
André Hartung, Head of Global Imaging Diagnostics at Siemens Healthcare, said: “Because our diagnostic imaging devices generate large amounts of image and text data, we have a unique advantage: clinicians can focus more on patients and medical issues, reducing the time wasted searching for data sets. This is just the beginning of Siemens Healthcare's journey towards generative AI, and we look forward to sharing more of the latest developments in this technology at RSNA this year.”
1 The above features are under development and are not yet available. There is no guarantee of future availability.
2 The Siemens Healthcare Client Statement described herein is based on results obtained in the customer's unique environment. Since there is no “typical” hospital or laboratory, and there are many variables (e.g. hospital size, sample mix, case mix,ITHorizontal and/or automated adoption), so there's no guarantee that other customers will get the same results.
About Siemens Healthcare
A world of innovation, for every life. Siemens Healthcare is a leading global provider of medical equipment, solutions and services. It operates in more than 180 countries and regions, and directly operates in more than 70 countries and regions. Siemens Healthcare consists of Siemens Healthcare AG (Frankfurt Stock Exchange: SHL) and its subsidiaries. As a leading medical technology company, Siemens Healthcare is committed to improving access to high-quality medical resources while overcoming fatal diseases that threaten human health. Siemens Healthcare's business covers fields such as medical imaging, in vitro diagnosis, cancer diagnosis and treatment, and minimally invasive treatment, and strengthens the strength of its various businesses through digital technology and artificial intelligence. As of fiscal year 2023 (September 30, 2023), Siemens Healthcare has around 71,000 employees worldwide and revenue of approximately €21.7 billion. For more information, please visit