Norwegian University of Science and Technology
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
The Potential of Generative Artificial Intelligence Across Disciplines: Perspectives and Future Directions
Keng‐Boon Ooi, Garry Wei‐Han Tan, Mostafa Al‐Emran et al.
2023 · 608 Zit.
The enlightening role of explainable artificial intelligence in medical & healthcare domains: A systematic literature review
Subhan Ali, Filza Akhlaq, Ali Shariq Imran et al.
2023 · 262 Zit.
Proposed Requirements for Cardiovascular Imaging-Related Machine Learning Evaluation (PRIME): A Checklist
Partho P. Sengupta, Sirish Shrestha, Béatrice Berthon et al.
2020 · 205 Zit.
Explainable Artificial Intelligence (XAI) from a user perspective: A synthesis of prior literature and problematizing avenues for future research
AKM Bahalul Haque, A.K.M. Najmul Islam, Patrick Mikalef
2022 · 204 Zit.
To explain or not to explain?—Artificial intelligence explainability in clinical decision support systems
Julia Amann, Dennis Vetter, Stig Nikolaj Fasmer Blomberg et al.
2022 · 191 Zit.
Responsible AI for Digital Health: a Synthesis and a Research Agenda
Cristina Trocin, Patrick Mikalef, Zacharoula Papamitsiou et al.
2021 · 177 Zit.
Assessing the Usability of ChatGPT for Formal English Language Learning
Sarang Shaikh, Sule Yildirim Yayilgan, Blanka Klímová et al.
2023 · 150 Zit.
How precision medicine and screening with big data could increase overdiagnosis
Henrik Vogt, Sara Green, Claus Thorn Ekstrøm et al.
2019 · 96 Zit.
A Comprehensive Survey of Digital Twins in Healthcare in the Era of Metaverse
Muhammad Turab, Sonain Jamil
2023 · 80 Zit.
Comparative analysis of explainable machine learning prediction models for hospital mortality
Eline Stenwig, Giampiero Salvi, Pierluigi Salvo Rossi et al.
2022 · 77 Zit.
Data Safe Havens in health research and healthcare
Paul R. Burton, Madeleine J. Murtagh, Andy Boyd et al.
2015 · 75 Zit.
REFORMS: Consensus-based Recommendations for Machine-learning-based Science
Sayash Kapoor, Emily M. Cantrell, Kenny Peng et al.
2024 · 68 Zit.
The Enlightening Role of Explainable Artificial Intelligence in Chronic Wound Classification
Salih Sarp, Murat Kuzlu, Emmanuel Wilson et al.
2021 · 65 Zit.
Possible strategies for use of artificial intelligence in screen-reading of mammograms, based on retrospective data from 122,969 screening examinations
Marthe Larsen, Camilla F. Aglen, Solveig Roth Hoff et al.
2022 · 64 Zit.
Understanding Human-Centred AI: a review of its defining elements and a research agenda
Stefan Schmager, Ilias O. Pappas, Polyxeni Vassilakopoulou
2025 · 56 Zit.