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Artikel 4571 Using artificial intelligence to predict the intrauterine insemination success rate among infertile couples
Enthalten in Middle East Fertility Society: Middle East Fertility Society journal Bd. 26, 15.12.2021, Nr. 1, date:12.2021: 1-7
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Artikel 4572 Using artificial intelligence to reduce diagnostic workload without compromising detection of urinary tract infections
Enthalten in BMC medical informatics and decision making Bd. 19, 23.8.2019, Nr. 1, date:12.2019: 1-11
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Artikel 4573 Using Generative Artificial Intelligence in Health Economics and Outcomes Research: A Primer on Techniques and Breakthroughs
Enthalten in PharmacoEconomics - open Bd. 9, 29.4.2025, Nr. 4, date:7.2025: 501-517
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Artikel 4574 Using novel micropore technology combined with artificial intelligence to differentiate Staphylococcus aureus and Staphylococcus epidermidis
Enthalten in Scientific reports Bd. 14, 24.3.2024, Nr. 1, date:12.2024: 1-11
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Artikel 4575 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
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Artikel 4576 Utilising artificial intelligence for cultivating decorative plants
Enthalten in Botanical studies Bd. 65, 19.12.2024, Nr. 1, date:12.2024: 1-10
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Artikel 4577 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
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Artikel 4578 Utilization of artificial intelligence and machine learning in chemistry education: a critical review
Enthalten in Discover education Bd. 3, 10.7.2024, Nr. 1, date:12.2024: 1-15
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Artikel 4579 Utilization of artificial intelligence-based pulmonary nodule target reconstruction software in clinical practice education for standardized training residents
Enthalten in BMC medical education Bd. 25, 1.7.2025, Nr. 1, date:12.2025: 1-8
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Artikel 4580 Utilization of standardized preimplantation genetic testing for aneuploidy (PGT-A) via artificial intelligence (AI) technology is correlated with improved pregnancy outcomes in single thawed euploid embryo transfer (STEET) cycles
Enthalten in Journal of assisted reproduction and genetics Bd. 40, 7.1.2023, Nr. 2, date:2.2023: 289-299
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