Use machine learning automation to reduce consequential human errors which primarily occur during surgical tray assembly, prior to sterilizing surgical instruments.
Razi Saydjari, MD, FACS, a Board Certified general surgeon with 40 years of experience
Roy Maxion, Ph.D., a recently retired computer science research professor from Carnegie Mellon University
Cody Fagley, a computer scientist
Tim Ficken, a sterile processing department manager and cerified first assist surgical technician
Joshua Young, a data analyst
We have advanced beyond R&D to a prototype thanks to the perseverance of our team computer scientist. A hospital CEO has approved the use of a beta version at two hospitals under his management. With adequate funding, we believe we can develop and deploy a beta version within 6-9 months. We anticipate commercialization will follow within 2 years. We are looking for an Angel or Venture Capital fund to help launch us. Seeking 2MM in 3 tranches.
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