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Artikel 9751 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
Online Ressource
Artikel 9752 Utilising artificial intelligence for cultivating decorative plants
Enthalten in Botanical studies Bd. 65, 19.12.2024, Nr. 1, date:12.2024: 1-10
Online Ressource
Artikel 9753 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
Online Ressource
Artikel 9754 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
Online Ressource
Artikel 9755 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
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Artikel 9756 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
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Artikel 9757 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
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Artikel 9758 Utility of artificial intelligence in geoscience
Enthalten in Nature geoscience Bd. 17, 9.10.2024, Nr. 10, date:10.2024: 953-955
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Artikel 9759 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
Online Ressource
Artikel 9760 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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