Finnish smart ring company, Ōura, has announced a proprietary AI model focused on women’s health.
The company already has an AI-powered health resource, Ōura Advisor, and says this new feature is a significant evolution in its use of AI, shifting from general-purpose tools towards a more personal, empathetic and clinically-informed conversation for specific health use.
The new model is being piloted in Ōura Labs this week – where members get the chance to try experimental features before they’re fully rolled out.
Supporting questions across the broad spectrum of women’s health, the tool has been designed to translate complex science into clear, compassionate guidance and connects what women are feeling with their data.
It is informed from a broad foundation of established medical standards, research and knowledge sources from Ōura’s team of clinicians and women’s health experts. It also integrates biometric and long-term trends to deliver personalised, evidence-based guidance.
Chief medical officer at Ōura, Ricky Bloomfield, says: “Women’s health is too complex and too often overlooked to rely on one-size-fits-all systems. By designing a model specifically for women and grounding it in trusted clinical science and real-world biometric data, we’re setting the standard for how responsible intelligence should be built and expanded across more areas of health, pairing rigorous science with the lived, longitudinal data that makes Oura uniquely powerful.”
The tool has been designed to be non-dismissive, reassuring and emotionally supportive to help women feel seen and better equipped for confident conversations with health providers.
Clinical director of women’s heath at Ōura and certified OB/GYN, Chris Curry, says: “Women’s health questions are often deeply personal and high-stakes and they deserve answers that can be trusted. With this model we’re providing the kind of preparation and insight that I wish every one of my patients had before coming to their appointment."
All conversations are contained within the Ōura infrastructure and not sold, shared or used to train public or third-party AI systems.
