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Models revealed errors when given proper context

During the DubLINK LLM-athon, 49 participants tested how large language models handle realistic patient cases. Providing context about the patient's social background altered the AI's care recommendations.

Field
applying language models
What they did
Researchers tested large language models on a real clinical case with a doctor and patient to see how context affects recommendations.
Why it matters
This will help understand why models give different answers depending on the environment, which is important for improving diagnostic accuracy.
#llm#healthcare#patient context#dublin#medwrite

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