University College Ghent
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
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.
Artificial intelligence and machine learning: an introduction for orthopaedic surgeons
R. Kyle Martin, Christophe Ley, Ayoosh Pareek et al.
2021 · 75 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.
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 riddle, wrapped in a mystery, inside an enigma: How semantic black boxes and opaque artificial intelligence confuse medical decision‐making
Robin Pierce, Sigrid Sterckx, Wim Van Biesen
2021 · 33 Zit.
The Value of Generative AI for Qualitative Research: A Pilot Study
Frédéric Pattyn
2024 · 27 Zit.
The Value of Generative AI for Qualitative Research: A Pilot Study
Frédéric Pattyn
2024 · 18 Zit.
How agile project management can work for your research
Laura Pirro
2019 · 14 Zit.
Inevitable Influences: AI-Based Medical Devices at the Intersection of Medical Devices Regulation and the Proposal for AI Regulation
Sofia Palmieri, Paulien Walraet, Tom Goffin
2021 · 13 Zit.
Trust in algorithmic decision-making systems in health: A comparison between ADA health and IBM Watson.
Marijn Martens, Ralf De Wolf, Lieven De Marez
2024 · 8 Zit.
Take five? A coherentist argument why medical AI does not require a new ethical principle
Seppe Segers, Michiel De Proost
2024 · 5 Zit.
Bridging the AI-Literacy Gap in Health Care: Qualitative Analysis of the Flanders Case Study
Christos Chatzichristos, Georgios Chatzichristos, Isabelle Borremans et al.
2025 · 4 Zit.
Reframing the responsibility gap in medical artificial intelligence: insights from causal selection and authorship attribution
Kristian González Barman, Paweł Pawłowski, Jasper Debrabander
2025 · 2 Zit.
Why we should talk about institutional (dis)trustworthiness and medical machine learning
Michiel De Proost, Giorgia Pozzi
2024 · 1 Zit.
Does artificial intelligence provide value for money in oncology care? A personal perspective
Lieven Annemans
2026 · 0 Zit.