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9691 |
Unraveling the Ethical Conundrum of Artificial Intelligence: A Synthesis of Literature and Case Studies
Enthalten in Augmented human research Bd. 10, 11.11.2024, Nr. 1, date:12.2025: 1-7
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9692 |
Unravelling the Impact of Generative Artificial Intelligence (GAI) in Industrial Applications: A Review of Scientific and Grey Literature
Enthalten in Global journal of flexible systems management Bd. 24, 28.9.2023, Nr. 4, date:12.2023: 659-689
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9693 |
Unresolved questions in the application of artificial intelligence virtual cells for cancer research
Enthalten in Military medical research Bd. 12, 30.4.2025, Nr. 1, date:12.2025: 1-3
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9694 |
Unveiling Bias in Distilled Artificial Intelligence Models: Ethical and Clinical Impacts on Decision-Making and Medical Auditing
Enthalten in Journal of medical systems Bd. 49, 8.7.2025, Nr. 1, date:12.2025: 1-3
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9695 |
Unveiling consumer satisfaction and its driving factors of EVs in China using an explainable artificial intelligence approach
Enthalten in Humanities and Social Sciences Communications Bd. 11, 20.11.2024, Nr. 1, date:12.2024: 1-13
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9696 |
Unveiling teleconnection drivers for heatwave prediction in South Korea using explainable artificial intelligence
Enthalten in npj climate and atmospheric science Bd. 7, 3.8.2024, Nr. 1, date:12.2024: 1-12
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9697 |
Unveiling the future: the impact of artificial intelligence in diagnostic pathology
Enthalten in Surgical and experimental pathology Bd. 8, 10.8.2025, Nr. 1, date:12.2025: 1-10
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9698 |
Unveiling the potential of artificial intelligence in revolutionizing disease diagnosis and prediction: a comprehensive review of machine learning and deep learning approaches
Enthalten in European journal of medical research Bd. 30, 26.5.2025, Nr. 1, date:12.2025: 1-36
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9699 |
UPDATING ABOVEGROUND BIOMASS AT A PAN-EUROPEAN SCALE THROUGH SATELLITE DATA AND ARTIFICIAL INTELLIGENCE
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLVIII-1/W2-2023, 2023: 1763-1769. 7 S.
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9700 |
US National Science Foundation commits to long-term investment in artificial intelligence
Enthalten in Materials Research Society: MRS bulletin Bd. 45, 27.9.2020, Nr. 1, date:1.2020: 15-16
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Administration
