University of Luxembourg

From hype to reality: data science enabling personalized medicine

Holger Fröhlich, Rudi Balling, Niko Beerenwinkel et al.

2018 · 441 Zit.

Promises and challenges of generative artificial intelligence for human learning

Lixiang Yan, Samuel Greiff, Ziwen Teuber et al.

2024 · 303 Zit.

The carnage of substandard research during the COVID-19 pandemic: a call for quality

Katrina A. Bramstedt

2020 · 184 Zit.

Machine learning and conventional statistics: making sense of the differences

Christophe Ley, R. Kyle Martin, Ayoosh Pareek et al.

2022 · 182 Zit.

Higher education students’ perceptions of ChatGPT: A global study of early reactions

Dejan Ravšelj, Damijana Keržič, Nina Tomaževič et al.

2025 · 140 Zit.

Explainable Artificial Intelligence (XAI) in Insurance

Emer Owens, Barry Sheehan, Martin Mullins et al.

2022 · 72 Zit.

Public Covid-19 X-ray datasets and their impact on model bias – A systematic review of a significant problem

Beatriz García Santa Cruz, Matías Nicolás Bossa, Jan Sölter et al.

2021 · 65 Zit.

A practical guide to the implementation of AI in orthopaedic research – part 1: opportunities in clinical application and overcoming existing challenges

Bálint Zsidai, Ann‐Sophie Hilkert, Janina Kaarre et al.

2023 · 50 Zit.

Guidelines and standard frameworks for artificial intelligence in medicine: a systematic review

Kirubel Biruk Shiferaw, Moritz Roloff, Irina Balaur et al.

2024 · 38 Zit.

Digital twin systems for musculoskeletal applications: A current concepts review

Pedro Diniz, Bernd Grimm, Frederic Garcia et al.

2025 · 38 Zit.

Artificial intelligence for dementia prevention

Danielle Newby, Vasiliki Orgeta, Charles R. Marshall et al.

2023 · 36 Zit.

Conversational Interfaces for Explainable AI: A Human-Centred Approach

Sophie Jentzsch, Sviatlana Höhn, Nico Hochgeschwender

2019 · 34 Zit.

Scientific misconduct and accountability in teams

Katrin Hussinger, Maikel Pellens

2019 · 32 Zit.

Public Covid-19 X-ray datasets and their impact on model bias - a systematic review of a significant problem

Beatriz García Santa Cruz, Matías Nicolás Bossa, Jan Sölter et al.

2021 · 30 Zit.

A systematic literature review on the impact of AI models on the security of code generation

Claudia Negri-Ribalta, Rémi Géraud, Anastasia Sergeeva et al.

2024 · 29 Zit.