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13181 |
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
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13182 |
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
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13183 |
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
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13184 |
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
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13185 |
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
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13186 |
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
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13187 |
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
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13188 |
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
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13189 |
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
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13190 |
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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