Browsing Publikasjoner fra CRIStin - NTNU by Title

Now showing items 2659-2678 of 37221

    • Artificial intelligence capability: Conceptualization, measurement calibration, and empirical study on its impact on organizational creativity and firm performance 

      Mikalef, Patrick; Gupta, Manjul (Peer reviewed; Journal article, 2021)
      Artificial intelligence (AI) has been heralded by many as the next source of business value. Grounded on the resource-based theory of the firm and on recent work on AI at the organizational context, this study (1) identifies ...

    • Artificial Intelligence Evaluation of 122969 Mammography Examinations from a Population-based Screening Program 

      Larsen, Marthe; Aglen, Camilla Flåt; Lee, Christoph I.; Hoff, Solveig Roth; Lund-Hanssen, Håkon; Lång, Kristina; Nygård, Jan Franz; Ursin, Giske; Hofvind, Solveig Sand-Hanssen (Journal article; Peer reviewed, 2022)
      The performance of the artificial intelligence system was promising for breast cancer detection in a large population-based mammography screening program. Background Artificial intelligence (AI) has shown promising results ...

    • Artificial Intelligence for Automatic Measurement of Left Ventricular Strain in Echocardiography 

      Salte, Ivar M.; Østvik, Andreas; Smistad, Erik; Melichova, Daniela; Nguyen, Thuy Mi; Karlsen, Sigve; Brunvand, Harald; Haugaa, Kristina H.; Edvardsen, Thor; Løvstakken, Lasse; Grenne, Bjørnar (Journal article; Peer reviewed, 2021)
      Objectives This study sought to examine if fully automated measurements of global longitudinal strain (GLS) using a novel motion estimation technology based on deep learning and artificial intelligence (AI) are feasible ...

    • Artificial intelligence for prostate MRI: open datasets, available applications, and grand challenges 

      Sunoqrot, Mohammed R. S.; Saha, Anindo; Hosseinzadeh, Matin; Elschot, Mattijs; Huisman, Henkjan J (Peer reviewed; Journal article, 2022)
      Artificial intelligence (AI) for prostate magnetic resonance imaging (MRI) is starting to play a clinical role for prostate cancer (PCa) patients. AI-assisted reading is feasible, allowing workflow reduction. A total of ...

    • Artificial intelligence for prostate MRI: open datasets, available applications, and grand challenges 

      Sunoqrot, Mohammed R. S.; Saha, Anindo; Hosseinzadeh, Matin; Elschot, Mattijs; Huisman, Henkjan J (Peer reviewed; Journal article, 2022)
      Artificial intelligence (AI) for prostate magnetic resonance imaging (MRI) is starting to play a clinical role for prostate cancer (PCa) patients. AI-assisted reading is feasible, allowing workflow reduction. A total of ...

    • Artificial intelligence for ship speed management during navigation in the Arctic 

      Kim, Ekaterina; Skjetne, Roger (Peer reviewed; Journal article, 2021)
      Difficult ice conditions are one of the major threats to ships, shipboard crew, and cargoes carried in Arctic waters. Ship-speed choice is influenced by many factors including the navigational conditions (ice, weather, ...

    • Artificial Intelligence for Well Integrity Monitoring Based on EM Data 

      Hosseini, Seyed Ehsan; Zonetti, Simone; Romdhane, Mohamed Anouar; Dupuy, Bastien; Arntsen, Børge (Chapter, 2021)
      Monitoring of integrity of plugged and abandoned (P&A'ed) wells is of interest for the oil and gas industry and for CO2 storage. The purpose of this study is to develop artificial intelligence (AI)-based approaches to ...

    • Artificial Intelligence in Construction Projects: A Systematic Scoping Review 

      Bang, Sofie; Olsson, Nils (Peer reviewed; Journal article, 2022)
      The use of artificial intelligence (AI) in construction projects has surged in recent years and is believed to represent a significant potential for increasing productivity and efficiency in the industry. The purpose of ...

    • Artificial intelligence in dry eye disease 

      Storås, Andrea Marheim; Strumke, Inga; Riegler, Michael Alexander; Grauslund, Jakob; Hammer, Hugo Lewi; Yazidi, Anis; Halvorsen, Pål; Gundersen, Kjell Gunnar; Utheim, Tor Paaske; Jackson, Catherine Joan (Peer reviewed; Journal article, 2022)
      Dry eye disease (DED) has a prevalence of between 5 and 50%, depending on the diagnostic criteria used and population under study. However, it remains one of the most underdiagnosed and undertreated conditions in ophthalmology. ...

    • Artificial intelligence in information systems research: A systematic literature review and research agenda 

      Collins, Christopher; Dennehy, Denis; Conboy, Kieran; Mikalef, Patrick (Journal article; Peer reviewed, 2021)
      AI has received increased attention from the information systems (IS) research community in recent years. There is, however, a growing concern that research on AI could experience a lack of cumulative building of knowledge, ...

    • Artificial Intelligence in Information Systems: State of the Art and Research Roadmap 

      Ågerfalk, Pär J.; Conboy, Kieran; Crowston, Kevin; Lundström, Jenny S. Z. Eriksson; Jarvenpaa, Sirkka; Mikalef, Patrick; Ram, Sudha (Journal article; Peer reviewed, 2021)
      Many would argue that artificial intelligence (AI) is not only technology but also a paradigmatic shift in the relationship between humans and machines. Much literature assumes that AI-powered practices substantially differ ...

    • Artificial intelligence in the fertility clinic: status, pitfalls and possibilities 

      Riegler, Michael Alexander; Stensen, Mette Haug; Witczak, Oliwia; Andersen, Jorunn Marie; Hicks, Steven; Hammer, Hugo Lewi; Delbarre, Erwan; Halvorsen, Pål; Yazidi, Anis; Holst, Nicolai; Haugen, Trine B. (Journal article; Peer reviewed, 2021)
      In recent years, the amount of data produced in the field of ART has increased exponentially. The diversity of data is large, ranging from videos to tabular data. At the same time, artificial intelligence (AI) is progressively ...

    • Artificial Intelligence in the Public Sector: A Study of Challenges and Opportunities for Norwegian Municipalities 

      Mikalef, Patrick; Fjørtoft, Siw Olsen; Torvatn, Hans Yngvar (Journal article; Peer reviewed, 2019)
      The value of Artificial Intelligence (AI) in augmenting or even replacing human decision-making in the organizational context is gaining momentum in the last few years. A growing number of organizations are now experimenting ...

    • Artificial intelligence-driven digital twin of a modern house demonstrated in virtual reality 

      Elfarri, Elias Mohammed; Rasheed, Adil; San, Omer (Peer reviewed; Journal article, 2023)
      A digital twin is a powerful tool that can help monitor and optimize physical assets in real-time. Simply put, it is a virtual representation of a physical asset, enabled through data and simulators, that can be used for ...

    • Artificial Intelligence–Based Framework for Analyzing Health Care Staff Security Practice: Mapping Review and Simulation Study 

      Yeng, Prosper; Nweke, Livinus Obiora; Yang, Bian; Fauzi, Muhammad Ali; Snekkenes, Einar Arthur (Peer reviewed; Journal article, 2021)
      Background: Blocklisting malicious activities in health care is challenging in relation to access control in health care security practices due to the fear of preventing legitimate access for therapeutic reasons. Inadvertent ...

    • Artificial light during the polar night disrupts Arctic fish and zooplankton behavior down to 200 m depth 

      Berge, Jørgen; Geoffroy, Maxime; Daase, Malin; Cottier, Finlo Robert; Priou, Pierre; Cohen, Jonathan H.; Johnsen, Geir; McKee, David; Kostakis, I; Renaud, Paul E.; Vogedes, Daniel Ludwig; Anderson, Philip J.; Last, Kim; Gauthier, Stephane (Peer reviewed; Journal article, 2020)
      For organisms that remain active in one of the last undisturbed and pristine dark environments on the planet—the Arctic Polar Night—the moon, stars and aurora borealis may provide important cues to guide distribution and ...

    • Artificial Reef Effect in relation to Offshore Renewable Energy Conversion: State of the Art 

      Langhamer, Olivia (Journal article; Peer reviewed, 2012)
      The rapid worldwide growth of offshore renewable energy production will provide marine organisms with new hard substrate for colonization, thus acting as artificial reefs. The artificial reef effect is important when ...

    • Artificial selection on allometry: change in elevation but not slope 

      Egset, Camilla Kalvatn; Hansen, Thomas F; Le Rouzic, Arnaud; Bolstad, Geir Hysing; Rosenqvist, Gunilla; Pelabon, Christophe (Journal article; Peer reviewed, 2012)
      To what extent within-species (static) allometries constitute a constraint on evolution is the subject of a long-standing debate in evolutionary biology. A prerequisite for the constraint hypothesis is that static allometries ...

    • Artificial size selection experiment reveals telomere length dynamics and fitness consequences in a wild passerine 

      Pepke, Michael Le; Kvalnes, Thomas; Rønning, Bernt; Jensen, Henrik; Boner, Winnie; Sæther, Bernt-Erik; Monaghan, Pat; Ringsby, Thor Harald (Peer reviewed; Journal article, 2022)
      Telomere dynamics could underlie life-history trade-offs among growth, size and longevity, but our ability to quantify such processes in natural, unmanipulated populations is limited. We investigated how 4 years of artificial ...

    • Artist or Crafts(wo)man? 

      Varkøy, Øivind; Angelo, Elin; Rolle, Christian (Peer reviewed; Journal article, 2020)
      Are orchestral musicians artists or crafts(wo)men? This article offers a principaldiscussion of the concepts of artist and crafts(wo)man, as well as the relation betweenthese concepts, from a philosophical point of view. ...