Showing 681 - 700 results of 3,099 for search '"Artificial Intelligence"', query time: 0.09s Refine Results
  1. 681
  2. 682
  3. 683
  4. 684
  5. 685
  6. 686
  7. 687
  8. 688

    Artificial intelligence-based, non-invasive assessment of the central aortic pressure in adults after operative or interventional treatment of aortic coarctation by Renate Oberhoffer, Peter Ewert, Harald Kaemmerer, Nicole Nagdyman, Oliver Dewald, Frank Klawonn, Michael Huntgeburth, Andreas Eicken, Christian Meierhofer, Sebastian Freilinger, Martin Middeke, Pinar Bambul Heck, Annika Freiberger, Frank Harig, Manuel Lösch, Fritz Mellert, Fabian von Scheidt, Elsa Ury, Nicole Wolfrum, Ann-Sophie Kaemmerer-Suleiman, Mathieu N. Suleiman

    Published 2025-01-01
    “…This study evaluated the use of artificial intelligence-based pulse wave analysis (AI-PWA) to assess central aortic blood pressure (CABP) and related parameters in post-treatment CoA patients.Methods This exploratory, cross-sectional study enrolled 47 adults with CoA, between June 2023 and May 2024. …”
    Get full text
    Article
  9. 689
  10. 690
  11. 691

    PHILOSOPHICAL AND ANTHROPOLOGICAL IMPORTANCE OF DEVELOPMENT OF ARTIFICIALLY CREATED INTELLIGENT SYSTEMS by Yu. D. Gensitskiy

    Published 2015-12-01
    Subjects: “…artificial intelligence system designed…”
    Get full text
    Article
  12. 692
  13. 693
  14. 694

    Using Artificial Intelligence to Retrieve the Optimal Parameters and Structures of Adaptive Network-Based Fuzzy Inference System for Typhoon Precipitation Forecast Modeling by Chien-Lin Huang, Nien-Sheng Hsu, Chih-Chiang Wei, Chun-Wen Lo

    Published 2015-01-01
    “…This study aims to construct a typhoon precipitation forecast model providing forecasts one to six hours in advance using optimal model parameters and structures retrieved from a combination of the adaptive network-based fuzzy inference system (ANFIS) and artificial intelligence. To enhance the accuracy of the precipitation forecast, two structures were then used to establish the precipitation forecast model for a specific lead-time: a single-model structure and a dual-model hybrid structure where the forecast models of higher and lower precipitation were integrated. …”
    Get full text
    Article
  15. 695
  16. 696
  17. 697

    Coronary plaque characteristics quantified by artificial intelligence-enabled plaque analysis: Insights from a multi-ethnic asymptomatic US population by Guadalupe Flores Tomasino, Caroline Park, Kajetan Grodecki, Jolien Geers, Donghee Han, Andrew Lin, Keiichiro Kuronuma, Nipun Manral, Emily Xing, Heidi Gransar, Sebastien Cadet, Alan Rozanski, Piotr J. Slomka, Michelle Williams, Daniel S. Berman, Damini Dey

    Published 2025-03-01
    “…Quantitative plaque volumes—including total plaque, non-calcified plaque, low-attenuation non-calcified plaque (<30 Hounsfield Units [HU]), and calcified plaque—were measured using artificial intelligence-enabled software. Pericoronary adipose tissue attenuation (PCAT) was also assessed and reported in Hounsfield Units (HU). …”
    Get full text
    Article
  18. 698

    Application of Artificial Intelligence Models to Predict the Tensile Strength of Glass Fiber-Modified Cemented Backfill Materials during the Mine Backfill Process by Lei Zhu, Wenzhe Gu, Zhicheng Liu, Fengqi Qiu

    Published 2022-01-01
    “…Consequently, this study proposed and compared four artificial intelligence models to forecast the tensile strength of GFCBM. …”
    Get full text
    Article
  19. 699

    The use of artificial intelligence in induced pluripotent stem cell-based technology over 10-year period: A systematic scoping review. by Quan Duy Vo, Yukihiro Saito, Toshihiro Ida, Kazufumi Nakamura, Shinsuke Yuasa

    Published 2024-01-01
    “…The integration of artificial intelligence (AI), especially machine learning (ML) and deep learning (DL), has played a pivotal role in refining iPSC classification, monitoring cell functionality, and conducting genetic analysis. …”
    Get full text
    Article
  20. 700