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Artikel 13331 Turkish adaptation of the artificial intelligence ethics scale (EAI): a validity and reliability study for nursing students
Enthalten in BMC Psychology Bd. 13, 17.8.2025, Nr. 1, date:12.2025: 1-11
Online Ressource
Artikel 13332 Turkish medical oncologists’ perspectives on integrating artificial intelligence: knowledge, attitudes, and ethical considerations
Enthalten in BMC medical ethics Bd. 26, 4.7.2025, Nr. 1, date:12.2025: 1-11
Online Ressource
Artikel 13333 Two new thematic series—spotlight on artificial intelligence and a specific platform for technologist
Enthalten in European journal of hybrid imaging Bd. 3, 16.12.2019, Nr. 1, date:12.2019: 1-3
Online Ressource
Artikel 13334 Two stage malware detection model in internet of vehicles (IoV) using deep learning-based explainable artificial intelligence with optimization algorithms
Enthalten in Scientific reports Bd. 15, 1.7.2025, Nr. 1, date:12.2025: 1-21
Online Ressource
Artikel 13335 Ultra-low-dose CT reconstructed with the artificial intelligence iterative reconstruction algorithm (AIIR) in 18F-FDG total-body PET/CT examination: a preliminary study
Enthalten in EJNMMI Physics Bd. 10, 2.1.2023, Nr. 1, date:12.2023: 1-12
Online Ressource
Artikel 13336 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
Online Ressource
Artikel 13337 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
Online Ressource
Artikel 13338 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
Online Ressource
Artikel 13339 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
Online Ressource
Artikel 13340 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
Online Ressource


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