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13091 - 13100 von 13294

	13091	Trustworthy artificial intelligence and ethical design: public perceptions of trustworthiness of an AI-based decision-support tool in the context of intrapartum care Enthalten in BMC medical ethics Bd. 24, 20.6.2023, Nr. 1, date:12.2023: 1-16
	13092	Trustworthy artificial intelligence in Alzheimer’s disease: state of the art, opportunities, and challenges Enthalten in Artificial intelligence review Bd. 56, 12.3.2023, Nr. 10, date:10.2023: 11149-11296
	13093	TsanKit: artificial intelligence for solder ball head-in-pillow defect inspection Enthalten in Machine vision and applications Bd. 32, 24.3.2021, Nr. 3, date:5.2021: 1-17
	13094	Tuning artificial intelligence on the de novo design of natural-product-inspired retinoid X receptor modulators Enthalten in Communications chemistry Bd. 1, 22.10.2018, Nr. 1, date:12.2018: 1-9
	13095	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
	13096	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
	13097	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
	13098	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
	13099	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
	13100	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

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