[Comment] From prediction to navigation for artificial intelligence in medicine
This is an editorial summary of research originally reported by The Lancet. ProductSafer does not claim ownership of the underlying research. All intellectual property belongs to the original publishers.
Whether estimating the probability that a disease is present or forecasting risk of deterioration,1 readmission,2 or death,3 most contemporary clinical artificial intelligence (AI) systems are designed to predict and estimate clinical status and outcomes. These systems include applications in diagnosis and medical image interpretation,4 which is important, but only provides information about what is present or what might happen and does not support clinicians in decision making about how best to
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The article is a medical commentary about clinical AI systems used by healthcare providers — not a consumer product that people use in their homes or daily lives. ProductSafer focuses on everyday products (food, household items, cosmetics, etc.) where consumers need to understand health risks.
- How doctors and hospitals use AI to predict disease and patient outcomes
- Professional medical decision-making tools
- Healthcare system implementation challenges
- A specific consumer product
- A health risk in something people buy or use
- Practical steps individual consumers can take regarding their own purchases
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