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Ergebnis der Suche nach: tit all "Artificial intelligence"
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Artikel 4571 Utilizing artificial intelligence to predict and analyze socioeconomic, environmental, and healthcare factors driving tuberculosis globally
Enthalten in Scientific reports Bd. 15, 19.4.2025, Nr. 1, date:12.2025: 1-14
Online Ressource
Artikel 4572 Utilizing artificial intelligence to solving time – cost – quality trade-off problem
Enthalten in Scientific reports Bd. 12, 22.11.2022, Nr. 1, date:12.2022: 1-18
Online Ressource
Artikel 4573 Utilizing geospatial artificial intelligence to map cancer disparities across health regions
Enthalten in Scientific reports Bd. 14, 2.4.2024, Nr. 1, date:12.2024: 1-9
Online Ressource
Artikel 4574 Vagueness in Artificial Intelligence: The ‘Fuzzy Logic’ of AI-Related Patent Claims
Enthalten in Digital society Bd. 2, 2.1.2023, Nr. 1, date:4.2023: 1-25
Online Ressource
Artikel 4575 Validation and real-world clinical application of an artificial intelligence algorithm for breast cancer detection in biopsies
Enthalten in npj Breast cancer Bd. 8, 6.12.2022, Nr. 1, date:12.2022: 1-11
Online Ressource
Artikel 4576 Validation in Zambia of a cervical screening strategy including HPV genotyping and artificial intelligence (AI)-based automated visual evaluation
Enthalten in Infectious agents and cancer Bd. 18, 16.10.2023, Nr. 1, date:12.2023: 1-11
Online Ressource
Artikel 4577 Validation of a novel, low-fidelity virtual reality simulator and an artificial intelligence assessment approach for peg transfer laparoscopic training
Enthalten in Scientific reports Bd. 14, 19.7.2024, Nr. 1, date:12.2024: 1-14
Online Ressource
Artikel 4578 Validation of Artificial Intelligence to Support the Automatic Coding of Patient Adverse Drug Reaction Reports, Using Nationwide Pharmacovigilance Data
Enthalten in Drug safety Bd. 45, 17.5.2022, Nr. 5, date:5.2022: 535-548
Online Ressource
Artikel 4579 Validation of neuron activation patterns for artificial intelligence models in oculomics
Enthalten in Scientific reports Bd. 14, 9.9.2024, Nr. 1, date:12.2024: 1-12
Online Ressource
Artikel 4580 Validation of Vetscan Imagyst®, a diagnostic test utilizing an artificial intelligence deep learning algorithm, for detecting strongyles and Parascaris spp. in equine fecal samples
Enthalten in Parasites & vectors Bd. 17, 12.11.2024, Nr. 1, date:12.2024: 1-11
Online Ressource


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