Luxembourg Institute of Health

Artificial intelligence for precision oncology: beyond patient stratification

Francisco Azuaje

2019 · 192 Zit.

Machine learning and conventional statistics: making sense of the differences

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

2022 · 181 Zit.

Artificial intelligence and machine learning: an introduction for orthopaedic surgeons

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

2021 · 69 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 · 45 Zit.

Digital twin systems for musculoskeletal applications: A current concepts review

Pedro Diniz, Bernd Grimm, Fernando García et al.

2025 · 27 Zit.

A practical guide to the implementation of artificial intelligence in orthopaedic research—Part 2: A technical introduction

Bálint Zsidai, Janina Kaarre, Eric Narup et al.

2024 · 25 Zit.

Does evidence support the high expectations placed in precision medicine? A bibliographic review

Jordi Cortés, José Antonio González, María Nuncia Medina et al.

2018 · 19 Zit.

Best practice in digital orthopaedics

Agnieszka Halm‐Pozniak, Christoph H. Lohmann, Luigi Zagra et al.

2023 · 19 Zit.

Finding NEEMO: towards organizing smart digital solutions in orthopaedic trauma surgery

Benedikt J. Braun, Bernd Grimm, Andrew M. Hanflik et al.

2020 · 11 Zit.

Accelerated evidence synthesis in orthopaedics—the roles of natural language processing, expert annotation and large language models

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

2023 · 8 Zit.

Classification grid and evidence matrix for evaluating digital medical devices under the European union landscape

Magali Boers, Aude Rochereau, Louisa Stüwe et al.

2025 · 4 Zit.

Nursing students’ reflections of artificial intelligence use in assessments

Erna Agovic, Islândia Maria Carvalho de Sousa, Faye Forsyth

2025 · 0 Zit.

Teaching Philosophy of Science to Data Scientists

Carlos Vega

2025 · 0 Zit.

Deep Digital Phenotyping and Digital Twins for Precision Health: Time to Dig Deeper (Preprint)

Guy Fagherazzi

2019 · 0 Zit.

ChatGPT-4 Responses on Ankle Cartilage Surgery Often Diverge from Expert Consensus: A Comparative Analysis

Takuji Yokoe, Giulia Roversi, Nuno Sevivas et al.

2025 · 0 Zit.