Data Management

Microsoft partners with Mass General Brigham and University of Wisconsin-Madison for AI medical imaging

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July 26, 2024

Microsoft Corp. partnered with Mass General Brigham and the University of Wisconsin School of Medicine and Public Health to advance AI medical imaging. Through this collaboration, the organizations aim to improve AI foundational models for radiology with the Microsoft Azure AI platform and the Nuance suite of radiology aps, according to a press release.

With generative AI, healthcare professionals can deliver imaging results faster to patients, improving the experience and quality of care. Microsoft will work with the partners on how algorithms can interpret medical images, report generation, disease classification and deliver a structured data analysis.

"Generative AI has transformative potential to overcome traditional barriers in AI product development and to accelerate the impact of these technologies on clinical care. As healthcare leaders, we need to carefully and responsibly develop and evaluate such tools to ensure high-quality care is in no way compromised," Keith J. Dreyer, chief data science officer and chief imaging officer at Mass General Brigham, said in the release. "Foundation models fine-tuned on Mass General Brigham's vast multimodal longitudinal data assets can enable a shorter development cycle of AI/ML-based software as a medical device and other clinical applications, for example, to automate the segmentation of organs and abnormalities in medical imaging and increase radiologists' efficiency and consistency."

"We are proud to announce our expanded collaborations with leading institutions like Mass General Brigham and UW. Along with other industry partners, our joint efforts aim to leverage the power of imaging foundation models to improve experiences and workflow efficiency across the radiology ecosystem in a way that is reliable, transparent and secure," Peter Durlach, corporate VP, Microsoft Health and Life Sciences, said in the release. "Together, we are not only advancing medical imaging, but also helping deliver more accessible and better-quality patient care in a very resource-constrained environment."