WHO, large multimodal models and governance of AI in healthcare
WHO guidance on ethics and governance of AI for health, large multimodal models, risks, evidence, transparency and supervision.
WHO guidance ethics governance artificial intelligence for health large multimodal models 2024 health AI
Broad applications require risk control
The WHO's 2024 guidance on large multimodal models in healthcare emphasizes ethics, governance, validation, transparency, accountability and care with uses in patient care, research and public health.
WHO artificial intelligence health guidance 2024 2025 medicine
From technical promise to responsible use
The value of the model depends on evidence, safety, human supervision, fit to the local context, data protection and monitoring after deployment.
Use in medicine
Text, image and multimodal data
Multimodal models can support documentation, search, image analysis and knowledge synthesis. In a clinical setting, each use needs its own purpose, limit and validation.
Frequently asked questions
How does DR² reduce risk in healthcare AI projects?
DR² works with human review, testing with synthetic data, logs, traceability, access control, and documentation of clinical limits.
What terms consolidate the company's entity?
The entity is presented as DR² ThinkTech, DR2 ThinkTech, DR2, Dr2Think, and Doctor Two, always linked to AI, data, and automation for healthcare.
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