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tit all "Artificial intelligence"
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9861 - 9870 von 9940
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9861
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
9862
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
9863
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
9864
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
9865
Validation of an online risk calculator for the prediction of anastomotic leak after colon cancer surgery and preliminary exploration of artificial intelligence-based analytics
Enthalten in Techniques in coloproctology Bd. 21, 28.10.2017, Nr. 11, date:11.2017: 869-877
9866
Validation of Artificial Intelligence Containing Products Across the Regulated Healthcare Industries
Enthalten in Therapeutic innovation & regulatory science Bd. 57, 18.5.2023, Nr. 4, date:7.2023: 797-809
9867
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
9868
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
9869
Validation of the shoulder range of motion software for measurement of shoulder ranges of motion in consultation: coupling a red/green/blue-depth video camera to artificial intelligence
Enthalten in International orthopaedics Bd. 47, 27.12.2022, Nr. 2, date:2.2023: 299-307
9870
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
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