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9861 - 9870 von 9962

	9861	Using simple artificial intelligence methods for predicting amyloidogenesis in antibodies Enthalten in BMC bioinformatics Bd. 11, 8.2.2010, Nr. 1, date:12.2010: 1-13
	9862	Utilising artificial intelligence for cultivating decorative plants Enthalten in Botanical studies Bd. 65, 19.12.2024, Nr. 1, date:12.2024: 1-10
	9863	Utility of a public-available artificial intelligence in diagnosis of polypoidal choroidal vasculopathy Enthalten in Graefe's archive for clinical and experimental ophthalmology Bd. 258, 4.11.2019, Nr. 1, date:1.2020: 17-21
	9864	Utility of an artificial intelligence-based lung CT airway model in the quantitative evaluation of large and small airway lesions in patients with chronic obstructive pulmonary disease Enthalten in BMC pulmonary medicine Bd. 25, 1.8.2025, Nr. 1, date:12.2025: 1-14
	9865	Utility of an Artificial Intelligence Enabled Electrocardiogram for Risk Assessment in Liver Transplant Candidates Enthalten in Digestive diseases and sciences Bd. 68, 6.4.2023, Nr. 6, date:6.2023: 2379-2388
	9866	Utility of Artificial Intelligence Amidst the COVID 19 Pandemic: A Review Enthalten in Journal of medical systems Bd. 44, 1.8.2020, Nr. 9, date:9.2020: 1-6
	9867	Utility of Artificial Intelligence for Real-Time Anatomical Landmark Identification in Ultrasound-Guided Thoracic Paravertebral Block Enthalten in Journal of digital imaging Bd. 36, 8.6.2023, Nr. 5, date:10.2023: 2051-2059
	9868	Utility of artificial intelligence in geoscience Enthalten in Nature geoscience Bd. 17, 9.10.2024, Nr. 10, date:10.2024: 953-955
	9869	Utility of artificial intelligence to identify antihyperglycemic agents poisoning in the USA: introducing a practical web application using National Poison Data System (NPDS) Enthalten in Environmental science and pollution research Bd. 30, 27.3.2023, Nr. 20, date:4.2023: 57801-57810
	9870	Utility of artificial intelligence with deep learning of hematoxylin and eosin-stained whole slide images to predict lymph node metastasis in T1 colorectal cancer using endoscopically resected specimens; prediction of lymph node metastasis in T1 colorectal cancer Enthalten in Journal of gastroenterology Bd. 57, 8.7.2022, Nr. 9, date:9.2022: 654-666

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