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Segmed AI

Last Updated on January 24, 2024 by Ivan Cocherga

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Segmed AI is a secure, cloud-based platform that focuses on curating medical data to accelerate innovation in healthcare. The platform aggregates, de-identifies, and standardizes real-world imaging data, making it a valuable resource for training and validating medical AI algorithms and models. Their services are utilized by pharmaceutical companies, AI and medical device companies, and hospitals and health systems to unlock the true value of their data.

Pros of Segmed AI:

  1. Data Accessibility and Diversity: Provides access to a vast network of over 2000 healthcare partner sites with more than 150 million imaging studies, ensuring a diverse and extensive dataset for AI training and validation.
  2. Data Security and Privacy: Maintains strict HIPAA compliance and ensures that all shared data is fully anonymized, safeguarding patient privacy and data security.
  3. Accelerated R&D: Enables AI teams to get machine-readable data in hand within days, significantly speeding up the research and development process.
  4. Revenue Generation for Healthcare Institutions: Offers healthcare institutions the opportunity to generate passive revenue by contributing data, while also ensuring that the future of health-tech is inclusive of everyone.

Cons of Segmed AI:

  1. Complex Integration: Requires integration with various healthcare systems (PACS, EMR, VNA, LIS, RIS, and billing systems), which might be complex and resource-intensive.
  2. Dependence on Data Quality and Standardization: The effectiveness of the AI models is heavily dependent on the quality and standardization of the data provided, which may vary across different healthcare partners.
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Use Cases:

  1. AI and Medical Device Companies: Can accelerate their algorithm training and validation pipeline by accessing a large, diverse dataset.
  2. Pharmaceutical and Life Science Companies: Can tap into Segmed’s network of longitudinal, tokenizable imaging records for their research and development needs.
  3. Hospitals and Health Systems: Can unlock the value of their data by contributing to the Segmed network and also benefit from data analytics and passive revenue streams.

While specific pricing details are not publicly available, Segmed operates on a model that allows healthcare institutions to generate revenue by contributing data. The platform also offers a self-serve platform for data discovery, curation, and de-identification, and pre-packaged datasets for various needs. For precise pricing information, interested parties are encouraged to request a demo or contact Segmed directly.

Segmed has been recognized for its innovative approach to data curation and standardization, having raised $2 million in seed funding to advance dataset sharing for medical AI. They aim to provide high-quality, diverse, real-world data to medical AI developers, thereby advancing healthcare outcomes worldwide【5†source】【6†source】【7†source】【8†source】.

Ivan Cocherga

With a profound passion for the confluence of technology and human potential, Ivan has dedicated over a decade to evaluating and understanding the world of AI-driven tools. Connect with Ivan on LinkedIn and Twitter (X) for the latest on AI trends and tool insights.

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