日期 影响因子
日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:
–

AI Interventions to Alleviate Healthcare Shortages and Enhance Work Conditions in Critical Care: Qualitative Analysis

人工智能干预缓解医疗资源短缺和改善重症监护工作条件：定性分析

期刊:Journal of Medical Internet Research
影响因子:6
doi:10.2196/50852
Bienefeld, Nadine; Keller, Emanuela; Grote, Gudela
发表日期：2025
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Human-AI Teaming in Critical Care: A Comparative Analysis of Data Scientists' and Clinicians' Perspectives on AI Augmentation and Automation

重症监护中的人机协作：数据科学家和临床医生对人工智能增强和自动化的看法比较分析

期刊:Journal of Medical Internet Research
影响因子:6
doi:10.2196/50130
Bienefeld, Nadine; Keller, Emanuela; Grote, Gudela
Human
发表日期：2024
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Effects of interacting with a large language model compared with a human coach on the clinical diagnostic process and outcomes among fourth-year medical students: study protocol for a prospective, randomised experiment using patient vignettes

与人类教练相比，与大型语言模型互动对四年级医学生临床诊断过程和结果的影响：一项使用患者情景的前瞻性随机实验的研究方案

期刊:BMJ Open
影响因子:2.3
doi:10.1136/bmjopen-2024-087469
Kämmer, Juliane E; Hautz, Wolf E; Krummrey, Gert; Sauter, Thomas C; Penders, Dorothea; Birrenbach, Tanja; Bienefeld, Nadine
发表日期：2024
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Solving the explainable AI conundrum by bridging clinicians' needs and developers' goals

通过连接临床医生的需求和开发人员的目标来解决可解释人工智能难题

期刊:npj Digital Medicine
影响因子:15.1
doi:10.1038/s41746-023-00837-4
Bienefeld, Nadine; Boss, Jens Michael; Lüthy, Rahel; Brodbeck, Dominique; Azzati, Jan; Blaser, Mirco; Willms, Jan; Keller, Emanuela
发表日期：2023
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First large-scale genomic prediction in the honey bee

蜜蜂首次大规模基因组预测

期刊:Heredity
影响因子:3.9
doi:10.1038/s41437-023-00606-9
Bernstein, Richard; Du, Manuel; Du, Zhipei G; Strauss, Anja S; Hoppe, Andreas; Bienefeld, Kaspar
发表日期：2023
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Human-AI teaming: leveraging transactive memory and speaking up for enhanced team effectiveness

人机协作：利用事务性记忆并积极发声以提升团队效率

期刊:Frontiers in Psychology
影响因子:2.9
doi:10.3389/fpsyg.2023.1208019
Bienefeld, Nadine; Kolbe, Michaela; Camen, Giovanni; Huser, Dominic; Buehler, Philipp Karl
Human
发表日期：2023
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Investigation of Feature Engineering Methods for Domain-Knowledge-Assisted Bearing Fault Diagnosis

基于领域知识的轴承故障诊断特征工程方法研究

期刊:Entropy
影响因子:2
doi:10.3390/e25091278
Bienefeld, Christoph; Becker-Dombrowsky, Florian Michael; Shatri, Etnik; Kirchner, Eckhard
发表日期：2023
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Exceeding the Ordinary: A Framework for Examining Teams Across the Extremeness Continuum and Its Impact on Future Research

超越平凡：一个用于考察极端程度连续体上团队的框架及其对未来研究的影响

期刊:
影响因子:
doi:10.1177/10596011221150756
Schmutz, Jan B; Bienefeld, Nadine; Maynard, M Travis; Rico, Ramón
发表日期：2023
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Complex population structure and haplotype patterns in the Western European honey bee from sequencing a large panel of haploid drones

通过对大量单倍体雄蜂进行测序，揭示了西欧蜜蜂复杂的种群结构和单倍型模式

期刊:Molecular Ecology Resources
影响因子:5.5
doi:10.1111/1755-0998.13665
Wragg, David; Eynard, Sonia E; Basso, Benjamin; Canale-Tabet, Kamila; Labarthe, Emmanuelle; Bouchez, Olivier; Bienefeld, Kaspar; Bieńkowska, Małgorzata; Costa, Cecilia; Gregorc, Aleš; Kryger, Per; Parejo, Melanie; Pinto, M Alice; Bidanel, Jean-Pierre; Servin, Bertrand; Le Conte, Yves; Vignal, Alain
发表日期：2022
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Semi-automatic detection of honeybee brood hygiene-an example of artificial learning to facilitate ethological studies on social insects

蜜蜂幼虫卫生状况的半自动检测——人工智能在促进社会性昆虫行为学研究中的应用实例

期刊:Biology Methods and Protocols
影响因子:1.3
doi:10.1093/biomethods/bpac005
Batz, Philipp; Ruttor, Andreas; Thiel, Sebastian; Wegener, Jakob; Zautke, Fred; Schwekendiek, Christoph; Bienefeld, Kaspar
神经科学
发表日期：2022
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