Délégation Paris 5

Detection, evaluation, and management of preoperative anaemia in the elective orthopaedic surgical patient: NATA guidelines

Lawrence T. Goodnough, Alice Maniatis, Peter Earnshaw et al.

2010 · 536 Zit.

Blockchain technology for improving clinical research quality

Mehdi Benchoufi, Philippe Ravaud

2017 · 375 Zit.

Patients’ views of wearable devices and AI in healthcare: findings from the ComPaRe e-cohort

Viet-Thi Tran, Carolina Riveros, Philippe Ravaud

2019 · 281 Zit.

Proposed Requirements for Cardiovascular Imaging-Related Machine Learning Evaluation (PRIME): A Checklist

Partho P. Sengupta, Sirish Shrestha, Béatrice Berthon et al.

2020 · 205 Zit.

Data science, artificial intelligence, and machine learning: Opportunities for laboratory medicine and the value of positive regulation

Damien Gruson, Thibault Helleputte, Patrick Rousseau et al.

2019 · 124 Zit.

Reporting quality of studies using machine learning models for medical diagnosis: a systematic review

Mohamed Yusuf, Ignacio Atal, Jacques Li et al.

2020 · 105 Zit.

STARD 2015: updated reporting guidelines for all diagnostic accuracy studies.

Patrick M. Bossuyt, Jérémie F. Cohen, Constantine Gatsonis et al.

2016 · 87 Zit.

Does artificial intelligence surpass the radiologist?

Philippe Soyer, Elliot K. Fishman, Steven P. Rowe et al.

2022 · 52 Zit.

STARD 2015 guidelines for reporting diagnostic accuracy studies: explanation and elaboration

Jérémie F. Cohen, Daniël A. Korevaar, Douglas G. Altman et al.

2022 · 52 Zit.

From Clinical Trials to Highly Trustable Clinical Trials: Blockchain in Clinical Trials, a Game Changer for Improving Transparency?

Mehdi Benchoufi, Doug Altman, Philippe Ravaud

2019 · 30 Zit.

Editors’ perspectives on the peer-review process in biomedical journals: protocol for a qualitative study

Ketevan Glonti, Darko Hren

2018 · 22 Zit.

A Global View on the Availability of Methods and Information in the Neuropathological Diagnostics of CNS Tumors: Results of an International Survey Among Neuropathological Units

Felipe Andreiuolo, Aurélien Mazeraud, Fabrice Chrétien et al.

2016 · 21 Zit.

Proposals for the use of artificial intelligence in emergency radiology

Thibaut Jacques, Laure Fournier, Marc Zins et al.

2020 · 20 Zit.

Facing new challenges to informed consent processes in the context of translational research: the case in CARPEM consortium

Élise Jacquier, Pierre Laurent‐Puig, Cécile Badoual et al.

2021 · 18 Zit.

Machine learning to predict antimicrobial resistance: future applications in clinical practice?

Yousra Kherabi, Michaël Thy, Donia Bouzid et al.

2024 · 18 Zit.