“As an active researcher in the field of artificial intelligence for medical imaging, I know that it is essential for companies and research groups to train, validate, and test algorithms with high quality labels. As an academic radiologist, I know that getting these labels is a huge problem for medical AI developers. Segmed is solving this problem by bridging the gap between radiologists and companies.”

— Tim Leiner, MD PhD EBCR

Professor of Radiology @ UMC Utrecht
Chairman of Cardiovascular Radiology @ UMC Utrecht
Vice President-Elect @ ISMRM


“At Stanford, we are developing multiple AI algorithms in the research setting. Being involved in this process both as a clinician as well as a researcher, I understand that high quality annotations are needed to develop commercially available algorithms. At Segmed, high quality annotations are a top priority.”

— Domenico Mastrodicasa, MD

Postdoctoral Researcher @ Stanford University School of Medicine
Board Certified Radiologist in Italy


“As a radiology resident who is trained both in the Czech Republic and the United States, with a special interest in pediatric radiology, I am committed to furthering the development of clinically-relevant AI algorithms. I am honored to label medical images for Segmed.”

— Martin Koci, MD

Radiology Resident @ Motol University Hospital, Prague, Czech Republic