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Comparative assessment of large language models in diabetic foot infection management: alignment with IWGDF/IDSA guidelines
0
Zitationen
14
Autoren
2026
Jahr
Abstract
All models perform comparably in terms of accuracy and in avoiding over-conclusions. Grok-3 outperformed the other models in the dimensions of complementarity and completeness. DeepSeek-R1 generated the most complex text. These findings validate the feasibility of AI in the standardized management of DFI, but the models still need to be further verified through clinical trials to determine their value in the real-world decision-making process.
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