The Lagging Embrace: Pace and Patterns of LLM integration in Clinical Trials

Figshare2026-03-27 更新2026-04-28 收录

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https://figshare.com/articles/dataset/_b_The_Lagging_Embrace_Pace_and_Patterns_of_LLM_integration_in_Clinical_Trials_b_/31866271 数据链接链接失效反馈

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Dataset for the extended abstract The Lagging Embrace: Pace and Patterns of LLM integration in Clinical Trials

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2026-03-27

陕西西安某医院肺癌胸部多模态影像数据集

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该数据源为当地某医院日常运营过程中采集治理数据后授权给本公司进行运营，已严格经过脱敏处理，不含敏感隐私数据。该数据集聚焦经病理确诊的肺癌患者，整合术前术后多模态影像资料，涵盖肿瘤大小、形态、侵犯范围、淋巴结转移及远处转移灶等关键结构，数据适用于肺癌早期识别、分型诊断、可切除性评估、疗效预测及AI驱动的个体化诊疗策略研究

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Data_Sheet_2_Acceptance of clinical artificial intelligence among physicians and medical students: A systematic review with cross-sectional survey.pdf

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BackgroundArtificial intelligence (AI) needs to be accepted and understood by physicians and medical students, but few have systematically assessed their attitudes. We investigated clinical AI accepta

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North America eCOA and ePRO Solutions for Clinical Trials Market

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The North America eCOA and ePRO Solutions for Clinical Trials report provides a detailed analysis of emerging investment pockets, highlighting current and future market trends. It offers strategic ins

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Advances in systems immunology, such as new biomarkers, offer the potential for highly personalized immunosuppression regimens that could improve patient outcomes. In the future, integrating all of th

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Key expected results of the CINDERELLA trial.

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Background Breast cancer therapy improved significantly, allowing for different surgical approaches for the same disease stage, therefore offering patients different aesthetic outcomes with similar lo

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The Lagging Embrace: Pace and Patterns of LLM integration in Clinical Trials

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