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A large language model improves clinicians’ diagnostic performance in complex critical illness cases
16
Zitationen
3
Autoren
2025
Jahr
Abstract
For diagnostically difficult critical illness cases, DeepSeek-R1 generates high-quality information, achieves reasonable diagnostic accuracy, and significantly improves residents' diagnostic accuracy and efficiency. Reasoning models are suggested to be promising diagnostic adjuncts in intensive care units.
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