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Assessing the Accuracy of Diagnostic Capabilities of Large Language Models
9
Zitationen
6
Autoren
2025
Jahr
Abstract
While these findings support the feasibility of using LLMs for medical training and decision support, the study emphasizes the need for improved interpretability, prompt optimization, and rigorous benchmarking to ensure clinical reliability. This structured, comparative approach contributes to ongoing efforts to establish standardized evaluation frameworks for integrating LLMs into diagnostic workflows.
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