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9851 - 9860 von 9964

	9851	Using artificial intelligence to make sustainable development decisions considering VUCA: a systematic literature review and bibliometric analysis Enthalten in Environmental science and pollution research Bd. 29, 4.4.2022, Nr. 28, date:6.2022: 42509-42538
	9852	Using artificial intelligence to predict adverse outcomes in emergency department patients with hyperglycemic crises in real time Enthalten in BMC endocrine disorders Bd. 23, 24.10.2023, Nr. 1, date:12.2023: 1-14
	9853	Using artificial intelligence to predict patient outcomes from patient-reported outcome measures: a scoping review Enthalten in Health and quality of life outcomes Bd. 23, 11.4.2025, Nr. 1, date:12.2025: 1-15
	9854	Using artificial intelligence to predict post-operative outcomes in congenital heart surgeries: a systematic review Enthalten in BMC cardiovascular disorders Bd. 24, 20.12.2024, Nr. 1, date:12.2024: 1-19
	9855	Using artificial intelligence to predict the intrauterine insemination success rate among infertile couples Enthalten in Middle East Fertility Society: Middle East Fertility Society journal Bd. 26, 15.12.2021, Nr. 1, date:12.2021: 1-7
	9856	Using artificial intelligence to reduce diagnostic workload without compromising detection of urinary tract infections Enthalten in BMC medical informatics and decision making Bd. 19, 23.8.2019, Nr. 1, date:12.2019: 1-11
	9857	Using artificial intelligence to support compliance with the general data protection regulation Enthalten in Artificial intelligence and law Bd. 25, 1.9.2017, Nr. 4, date:12.2017: 429-443
	9858	Using Bayesian networks to discover relationships between bibliometric indices. A case study of computer science and artificial intelligence journals Enthalten in Scientometrics Bd. 89, 23.8.2011, Nr. 2, date:11.2011: 523-551
	9859	Using Generative Artificial Intelligence in Health Economics and Outcomes Research: A Primer on Techniques and Breakthroughs Enthalten in PharmacoEconomics - open Bd. 9, 29.4.2025, Nr. 4, date:7.2025: 501-517
	9860	Using hybrid artificial intelligence approach based on a neuro-fuzzy system and evolutionary algorithms for modeling landslide susceptibility in East Azerbaijan Province, Iran Enthalten in Earth science informatics Bd. 14, 1.7.2021, Nr. 4, date:12.2021: 1861-1882

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