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As we are building our AI tools in Europe, multi-lingual availability is their integral feature. Our first product Oxipit ChestEye produces radiological reports (report out) in 14 languages.
In addition, our platform can ingest radiological reports (report in) in any world language.
Our model training dataset also includes radiological data from both developed and developing countries.
This aspect was highlighted as one of six key principles in the WHO guidance document on AI ethics and governance in healthcare.
This is PART 6 of our post series exploring the road to medical imaging autonomy.
PART 5: AI Autonomy in Medical Imaging: Analytical Dashboard
PART 4: AI Autonomy in Medical Imaging: Three Stages of Deployment
PART 3: AI Autonomy in Medical Imaging: The First Viable Step for Autonomous Operations
PART 2: AI Autonomy in Medical Imaging: Addressing Global Shortage of Radiologists
PART 1: AI Autonomy in Medical Imaging: Not with a Bang, but with a Whisper