Mass General Brigham’s Chief Data Science Officer Named to TIME 100 AI List

Since its inception in 2016, Mass General Brigham’s AI business has provided the bridge between academic research and product development, with a full complement of services required to translate research and innovation into clinical practice. Mass General Brigham’s current initiatives encompass AI/ML-enabled solutions in diagnostics, hospital operations, and other specialty services. The team, composed of clinicians, data scientists, product managers, technical project managers, software engineers, and regulatory science experts works across clinical applications, smart devices, and infrastructure. Mass General Brigham’s AI work has access to the expertise of the system’s world-renowned clinical investigators and data scientists to address complex problems in health care delivery, operations, and care coordination. It houses end-to-end product development infrastructure and expertise for regulatory and validation strategy and clinical deployment through its Digital CRO. 

“We are thrilled Dr. Dreyer has been recognized by TIME for his dedication to shaping healthcare AI at our health system and beyond,” said Aaron Gerber, MD, MBA, senior vice president, Diversified Businesses, Mass General Brigham. “The impact of his work spans benefits to patients and providers across the globe, and we’re excited to continue to create and develop new products and offerings that pioneer the future of medicine.”

Dr. Dreyer is also an associate professor of radiology at Harvard Medical School, the chief science officer for the American College of Radiology’s Data Science Institute and has held numerous board, chair, advisory, and committee positions with numerous national and international medical societies and global healthcare corporations. He has authored hundreds of scientific papers, presentations, chapters, articles, and books and has lectured worldwide on artificial intelligence in healthcare, clinical data science, cognitive computing, clinical decision support, clinical language understudying, digital imaging standards, and implications of technology on the quality of health care and payment reform initiatives.