Segmed, Inc.

Segmed, Inc.

Segmed, Inc.

Segmed was founded when our cofounder, Martin, struggled to pull together a radiological dataset for a publication despite having vast academic resources at his disposal. Over the past two years, however, Segmed has evolved and grown to focus on solving much bigger problems—the algorithmic bias present in medical AI development and the inequalities across the healthcare system at large. Research should be accessible, secure, and representative of more people. So we’re setting out to revolutionize healthcare research without personal information. Read about current topics in medical AI and how we approach them on on our blog.

Company details

Segmed, Inc. , Menlo Park , CA 94025 USA
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Business Type:
Software vendor
Industry Type:
Medical Research
Market Focus:
Nationally (across the country)
Year Founded:
2019

It took 6+ months for our CEO to put together a medical dataset for research.
This was despite having vast academic resources at his disposal as a post-doctoral research lead @ Stanford.

And so, Segmed was born. Over the past few years,we have evolved and grown to focus on solving much bigger problems—the algorithmic bias present in medical AI development and the inequalities across the healthcare system at large.

Research should be accessible, secure, and representative of more people - and Segmed wants to make this a reality.

What we're all about
We may be fully remote & distributed, but we know a strong team is what drives success. Here are a few core values we abide by as a team.

  • Transparency: tell it like it is, whether it's good or bad
  • Social Good: putting people first
  • Learning Mentality: we acknowledge what we don’t know and find out
  • Integrity: do the right thing even if no one’s watching

Simplifying access to real-world imaging data
Segmed enables AI teams to work with de-identified, standardized medical data from our healthcare partners.

  • 1000+ healthcare partner sites
  • 15M+ imaging studies on our platform
  • 15M+ additional studies

Get machine-readable data in hand within days

Access to copious amounts of diverse, standardized data has always been a major stumbling block to accelerating medical AI development—until now.
  • Diversity in data: Find images and studies sourced from 1000+ sites spanning 5 continents
  • Accelerated timeline: Build out your own dataset or talk to our concierge team about your data requirements - you'll have machine-readable data in hand within days!