Medical AI Startup SegMed Nabs $2M to Aggregate Medical Data for Research

What You Should Know:

– Segmed emerges out of stealth and has
secured $2M in seed funding to empower medical AI efforts through easy access
to high-quality, structured and anonymized training data sets.

– The healthcare industry is amassing data at an unprecedented rate but unless this data is standardized, labeled, and curated for use by patients and clinicians, it is not beneficial.

– Segmed simplifies the process by
enabling AI developers to achieve faster development times, medical experts to
contribute expertise, and data partners to enable a passive revenue stream by
monetizing medical data.

Segmed, a Stanford,
CA-based cloud-based platform that curates medical data by
anonymizing, standardizing and labeling, to accelerate medical AI research, 
announced it has closed $2 million dollars in seed funding
led by Blumberg Capital with
participation from Nina Capital and other angel investors.

Advance Dataset Sharing for Medical AI Development

The healthcare industry is generating data at an unprecedented rate but unless this data is standardized, labeled, and curated for use by patients, clinicians, and researchers, it is of little use. Proper sourcing and preparation of data with precise, high-quality labels are a costly, error prone, and lengthy process. Segmed’s solution automates and streamlines the process and provides valuable, high-quality training datasets for AI models.

Monetize Your Medical Data

The solution shortens time to market for AI developers
and generates new revenue streams for hospitals by monetizing medical data
securely and anonymously. The company maintains strict HIPAA compliance
and only uses and shares data that is fully anonymized, ensuring that no
personal information is ever exposed.

“We aim to aggregate and leverage larger and more representative datasets for use in medical AI to ultimately deliver better healthcare around the world,” said Cailin Hardell, co-founder and CEO, Segmed. “Medical AI has the potential to improve diagnostics, predictive and preventative medicine for quality patient care while reducing cost to address underserved populations around the world. Segmed helps ensure that the broadest datasets are available to medical AI application developers and clinicians to deliver better products and services that can best serve the most patients.”

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