Hvidovre Hospital
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Assessing the utility of deep neural networks in predicting postoperative surgical complications: a retrospective study
Alexander Bonde, Kartik M. Varadarajan, Nicholas Bonde et al.
2021 · 109 Zit.
Evaluating the scientific reliability of ChatGPT as a source of information on asthma
Simon Høj, Simon Francis Thomsen, Charlotte Suppli Ulrik et al.
2024 · 20 Zit.
Development and validation of prognostic machine learning models for short- and long-term mortality among acutely admitted patients based on blood tests
Baker Nawfal Jawad, Shakir Maytham Shaker, Izzet Altintas et al.
2024 · 14 Zit.
Assessing the utility of deep neural networks in detecting superficial surgical site infections from free text electronic health record data
Alexander Bonde, Stephan Sloth Lorenzen, Gustav Brixen et al.
2024 · 11 Zit.
Assessing the utility of natural language processing for detecting postoperative complications from free medical text
Emilie Even Dencker, Alexander Bonde, Anders Troelsen et al.
2024 · 7 Zit.
Clinical validation of explainable AI for fetal growth scans through multi-level, cross-institutional prospective end-user evaluation
Zahra Bashir, Manxi Lin, Aasa Feragen et al.
2025 · 6 Zit.
Artificial intelligence in asthma health literacy: a comparative analysis of ChatGPT versus Gemini
Simon Høj, Vibeke Backer, Charlotte Suppli Ulrik et al.
2025 · 4 Zit.
Navigating fairness aspects of clinical prediction models
Katrina Chakradeo, Inchuen Huynh, Sedrah B. Balaganeshan et al.
2025 · 3 Zit.
MASS-DIAGNOSING KNEE OSTEOARTHRITIS IN A CONSECUTIVE CLINICAL COHORT WITH ARTIFICIAL INTELLIGENCE
Anders Lenskjold, M. Willadsen, Janus Damm Nybing et al.
2022 · 2 Zit.
Magnetic resonance imaging in the evaluation of sequelae after tibial plateau fractures
D B Jensen, TorbenPalner Johansen, A Bjerg-Nielsen et al.
1990 · 2 Zit.
Assessing the Utility of Deep Neural Networks in Detecting Superficial Surgical Site Infections From Free Text Electronic Health Record Data
Alexander Bonde, Stephan Sloth Lorenzen, Gustav Brixen et al.
2023 · 1 Zit.
Correspondence regarding "Assessing the accuracy of ChatGPT’s responses to common allergy myths"
Simon Høj, Howraman Meteran
2025 · 1 Zit.
ACCURACY AND INTEROBSERVER AGREEMENT OF READERS WITH CONCURRENT ARTIFICIAL INTELLIGENCE ASSISTANCE ON THE RADIOGRAPHIC EVALUATION OF KNEE OSTEOARTHRITIS: A MULTI-CENTER MULTI-READER STUDY
Mathias W. Brejnebøl, Anders Lenskjold, Katharina Ziegeler et al.
2024 · 0 Zit.
Good news for data sharing: Defacing of MR scans using SimNIBS 4.0
Larissa Behnke, Yuki Mizutani-Tiebel, Kai-Yen Chang et al.
2023 · 0 Zit.
Towards an AI-driven registry for postoperative complications: a proof-of-concept study evaluating the opportunities and challenges of AI models
Emilie Even Dencker, Andreas Skov Millarch, Alexander Bonde et al.
2025 · 0 Zit.