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	9751	Ultrasound diagnostic criteria for thyroid nodules around the world and artificial intelligence Enthalten in Journal of medical ultrasonics Bd. 50, 5.10.2023, Nr. 4, date:10.2023: 463-464
	9752	Uncertainty quantification in genetic algorithm-optimized artificial intelligence-based mineral prospectivity models: automated hyperparameter tuning for support vector machines and random forest Enthalten in Modeling earth systems and environment Bd. 11, 19.12.2024, Nr. 1, date:2.2025: 1-23
	9753	Understanding and training for the impact of large language models and artificial intelligence in healthcare practice: a narrative review Enthalten in BMC medical education Bd. 24, 7.10.2024, Nr. 1, date:12.2024: 1-8
	9754	Understanding oxidation of Fe-Cr-Al alloys through explainable artificial intelligence Enthalten in Materials Research Society: MRS communications Bd. 13, 9.1.2023, Nr. 1, date:2.2023: 82-88
	9755	Understanding School Readiness Factors in relation to the Incorporation of Artificial Intelligence using TOE Framework: An Empirical Evidence from India Enthalten in TechTrends Bd. 69, 3.12.2024, Nr. 1, date:1.2025: 38-59
	9756	Understanding the dilemma of explainable artificial intelligence: a proposal for a ritual dialog framework Enthalten in Humanities and Social Sciences Communications Bd. 11, 26.2.2024, Nr. 1, date:12.2024: 1-9
	9757	Understanding the errors made by artificial intelligence algorithms in histopathology in terms of patient impact Enthalten in npj digital medicine Bd. 7, 10.4.2024, Nr. 1, date:12.2024: 1-6
	9758	Understanding the integration of artificial intelligence in healthcare organisations and systems through the NASSS framework: a qualitative study in a leading Canadian academic centre Enthalten in BMC health services research Bd. 24, 3.6.2024, Nr. 1, date:12.2024: 1-24
	9759	Understanding the relationship between team diversity and the innovative performance in research teams using decision tree algorithms: evidence from artificial intelligence Enthalten in Scientometrics Bd. 129, 25.10.2024, Nr. 12, date:12.2024: 7805-7831
	9760	Understanding the risk factors for adverse events during exchange transfusion in neonatal hyperbilirubinemia using explainable artificial intelligence Enthalten in BMC pediatrics Bd. 22, 30.9.2022, Nr. 1, date:12.2022: 1-9

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