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.”
