Greg Zaharchuk, MD, Ph.D.

Subtle Medical, Inc., a leading healthcare technology company using artificial intelligence (AI) to improve the speed and quality of medical imaging, announced the issuance of U.S. Patent No. 10,997,716 for their licensed innovative software that uses deep learning to drastically reduce contrast dosage needed during contrast-enhanced medical imaging exams. The patent was invented by Drs. Greg Zaharchuk and Enhao Gong prior to co-founding Subtle Medical and is based on technology exclusively licensed from Stanford University. This marks another milestone in Subtle’s mission to accelerate universal access to faster, safer, and smarter medical imaging.

Contrast agents are routinely used in over 100 million medical imaging exams each year, including MR, CT, and Ultrasound, to improve the visualization of anatomies and possible pathologies. “This patent recognizes our AI software as a fundamentally new solution that can significantly improve the visualization before and after contrast administration with lower doses of contrast than are currently used,” said Enhao Gong, PhD, Co-founder and CEO of Subtle Medical. “As a result, significantly reduced contrast agent dosage can be used to obtain diagnostic information in medical imaging, enabling safer exams for patients worldwide… Continue reading.

WASHINGTON, D.C. — The American Institute for Medical and Biological Engineering (AIMBE) has announced the induction of Greg Zaharchuk, MD, Ph.D., Professor, Radiology, Stanford University, to its College of Fellows.

Election to the AIMBE College of Fellows is among the highest professional distinctions accorded to a medical and biological engineer. The College of Fellows is comprised of the top two percent of medical and biological engineers. College membership honors those who have made outstanding contributions to “engineering and medicine research, practice, or education” and to “the pioneering of new and developing fields of technology, making major advancements in traditional fields of medical and biological engineering, or developing/implementing innovative approaches to bioengineering education.”

Dr. Zaharchuk was nominated, reviewed, and elected by peers and members of the College of Fellows for “outstanding contributions to neurological MRI and PET, including the use of artificial intelligence methods to improve image quality.“