ACR DSI Chief Science Officer named to TIME 100 AI List

ACR DSI Chief Science Officer Keith Dreyer, DO, PhD, FACR, was named to the first-ever TIME 100 AI list, which features 100 leaders, policymakers, artists, entrepreneurs and innovators in the artificial intelligence (AI) field. 

Dreyer, who also serves as chief data science officer at Mass General Brigham, oversees dozens of AI algorithms that are used to read images and is frequently involved with discussing issues such as reimbursement for AI-based work, the security of patient information used in algorithms, and how much autonomy AI should have in medicine. 

Since AI algorithms can become outdated quickly, they need constant evaluation to ensure they are still working as intended, Dreyer’s TIME profile said. “Across the U.S. right now, there is a shortage of radiologists, not because there are fewer radiologists, but because there is so much more imaging data,” he told the magazine. “AI is being called upon to solve some of those problems in efficiency and shortages.” 

“It is an honor to be included on the inaugural TIME 100 AI list alongside others who are shaping the future of AI across industries,” he told Mass General Brigham. “AI in healthcare holds tremendous promise and potential for our many stakeholders — from patients and caregivers to providers and administrators — by enabling novel insights that support clinical impact. I’m committed to improving healthcare delivery and operations through the development and productization of AI-enabled solutions in a manner that maximizes societal good.” 

Dr. Dreyer is also an associate professor of radiology at Harvard Medical School 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.  

See the full TIME 100 AI list here.