Microsoft is collaborating with Mass General Brigham and the University of Wisconsin–Madison to expand its work in healthcare artificial intelligence. By creating, evaluating, and validating AI algorithms and applications to enhance the precision and consistency of medical image processing and to empower healthcare institutions to create medical imaging AI copilots, this collaboration seeks to advance AI in medical imaging.
The bulk of radiologists in the United States use Nuance’s PowerScribe radiology reporting platform and Precision Imaging Network, which are used to incorporate these AI models into clinical workflows. These models are to be developed on the Microsoft Azure AI platform. Microsoft and researchers and physicians from UW School of Medicine and Public Health, UW Health, and Mass General Brigham will collaborate to enhance multimodal foundation models. Helping radiologists and physicians evaluate medical pictures, create reports, categorize diseases, and analyze structured data are the objectives.
An estimated $65 billion is spent annually by health systems on medical imaging, which is essential to healthcare. Approximately 80% of hospital and health system visits involve at least one imaging exam related to over 23,000 diseases, according to statistics from Definitive Healthcare. Many hospitals and health systems are investigating generative AI tools to lower workloads, improve workflow efficiencies, and improve the accuracy and consistency of medical image analysis for care delivery, clinical trial recruitment, and drug discovery as a result of the growing rates of physician burnout and staffing shortages in the healthcare industry.
The chief imaging and data science officer at Mass General Brigham, Keith J. Dreyer, highlighted the revolutionary potential of generative AI in overcoming conventional obstacles to AI product creation and hastening the adoption of these technologies in clinical care. A shorter development cycle for AI/ML-based software as a medical device and other clinical applications, like automating the segmentation of organs and abnormalities in medical imaging and improving radiologists’ consistency and efficiency, can be made possible, according to Dreyer, by foundation models refined on Mass General Brigham’s extensive multimodal longitudinal data assets.
The partnership with Microsoft, according to Scott Reeder, radiologist at UW Health and chair of the Department of Radiology at the University of Wisconsin School of Medicine and Public Health, will progress the creation, verification, and careful clinical research of generative AI in the field of medical imaging. To enhance results and increase accessibility to innovative care, Reeder stressed the importance of bridging the gap between innovation in medical imaging and patient care.
Microsoft and Nvidia are collaborating to enhance the applications of cloud computing, accelerated computing, and generative AI in the life sciences and healthcare. The two businesses announced in March that they would be working together to integrate Nvidia DGX Cloud and the Nvidia Clara suite of computing platforms and software with Microsoft Azure’s advanced computing capabilities read more about Microsoft Partners with Mass General Brigham and UW-Madison on AI in Imaging https://www.fiercehealthcare.com/.
