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Blind accuracies of ALS classifiers.
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创建时间：
2017-06-09
相关数据集
ruslanmv/icliniq-7k
--- configs: - config_name: default dataset_info: features: - name: input dtype: string - name: answer_icliniq dtype: string - name: answer_chatgpt dtype: string - name: answer_c
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Artificial intelligence in predicting chronic kidney disease prognosis. A systematic review and meta-analysis
Chronic kidney disease (CKD) is a common condition that can lead to serious health complications. Artificial Intelligence (AI) has shown the potential to improve the prediction of CKD progression, off
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TIMI dataset correlation matrix.
BackgroundChatGPT-4 is a large language model with promising healthcare applications. However, its ability to analyze complex clinical data and provide consistent results is poorly known. Compared to
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Table 1_Battle of the artificial intelligence: a comprehensive comparative analysis of DeepSeek and ChatGPT for urinary incontinence-related questions.xlsx
BackgroundWith the rapid advancement and widespread adoption of artificial intelligence (AI), patients increasingly turn to AI for initial medical guidance. Therefore, a comprehensive evaluation of AI
NIAID Data Ecosystem90
DiagTrace: Traces of Diagnostic Reasoning in Clinical Cases
DiagTrace is a bilingual (French/English) dataset for evaluating the diagnostic reasoning capabilities and final diagnosis accuracy on real-world clinical cases. It contains 180 clinical cases spannin
Zenodo2026-05-18 更新30
