Ghent University
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare
Karim Lekadir, Alejandro F. Frangi, Antonio R. Porras et al.
2025 · 284 Zit.
Machine learning methods in sport injury prediction and prevention: a systematic review
Hans Van Eetvelde, Luciana De Michelis Mendonça, Christophe Ley et al.
2021 · 279 Zit.
Optimization of Radiology Workflow with Artificial Intelligence
Erik Ranschaert, Laurens Topff, Oleg S. Pianykh
2021 · 91 Zit.
Explainability in medicine in an era of AI-based clinical decision support systems
Robin Pierce, Wim Van Biesen, Daan Van Cauwenberge et al.
2022 · 78 Zit.
REFORMS: Consensus-based Recommendations for Machine-learning-based Science
Sayash Kapoor, Emily M. Cantrell, Kenny Peng et al.
2024 · 76 Zit.
Artificial intelligence and machine learning: an introduction for orthopaedic surgeons
R. Kyle Martin, Christophe Ley, Ayoosh Pareek et al.
2021 · 75 Zit.
Student Perspectives on the Role of Artificial Intelligence in Education: A Survey-Based Analysis
Ghazi Mauer Idroes, Teuku Rizky Noviandy, Aga Maulana et al.
2023 · 63 Zit.
The Open Brain Consent: Informing research participants and obtaining consent to share brain imaging data
Élise Bannier, Gareth J. Barker, Valentina Borghesani et al.
2021 · 60 Zit.
Beyond transparency and explainability: on the need for adequate and contextualized user guidelines for LLM use
Kristian González Barman, Nathan Gabriel Wood, Pawel Pawlowski
2024 · 50 Zit.
How do citizens perceive the use of Artificial Intelligence in public sector decisions?
Tessa Haesevoets, Bram Verschuere, Ruben Van Severen et al.
2023 · 48 Zit.
“Many roads lead to Rome and the Artificial Intelligence only shows me one road”: an interview study on physician attitudes regarding the implementation of computerised clinical decision support systems
Daan Van Cauwenberge, Wim Van Biesen, Johan Decruyenaere et al.
2022 · 45 Zit.
Data Management of Sensitive Human Proteomics Data: Current Practices, Recommendations, and Perspectives for the Future
Nuno Bandeira, Eric W. Deutsch, Oliver Kohlbacher et al.
2021 · 43 Zit.
Computer says ‘no’: Exploring systemic bias in ChatGPT using an audit approach
Louis Lippens
2024 · 43 Zit.
Collaboration between explainable artificial intelligence and pulmonologists improves the accuracy of pulmonary function test interpretation
Nilakash Das, Sofie Happaerts, Iwein Gyselinck et al.
2023 · 43 Zit.
A decision support system to follow up and diagnose primary headache patients using semantically enriched data
Gilles Vandewiele, Femke De Backere, Kiani Lannoye et al.
2018 · 36 Zit.