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 · 537 Zit.

Blockchain technology for improving clinical research quality

Mehdi Benchoufi, Philippe Ravaud

2017 · 379 Zit.

Perceptions of artificial intelligence in healthcare: findings from a qualitative survey study among actors in France

M. Lai, M Brian, Marie‐France Mamzer

2020 · 294 Zit.

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

Viet-Thi Tran, Carolina Riveros, Philippe Ravaud

2019 · 285 Zit.

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

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

2020 · 211 Zit.

Blockchain protocols in clinical trials: Transparency and traceability of consent

Mehdi Benchoufi, Raphaël Porcher, Philippe Ravaud

2018 · 129 Zit.

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

Damien Gruson, Damien Gruson, Thibault Helleputte et al.

2019 · 124 Zit.

How to report and compare quantitative variables in a radiology article

Maxime Barat, Anne‐Sophie Jannot, Anthony Dohan et al.

2022 · 116 Zit.

Natural language processing of radiology reports for the detection of thromboembolic diseases and clinically relevant incidental findings

Anne-Dominique Pham, Aurélie Névéol, Thomas Lavergne et al.

2014 · 108 Zit.

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

Mohamed Yusuf, Ignacio Atal, Jacques Li et al.

2020 · 106 Zit.

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

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

2016 · 88 Zit.

Does artificial intelligence surpass the radiologist?

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

2022 · 54 Zit.

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

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

2022 · 54 Zit.

Sensitivity and Specificity of Using GPT-3.5 Turbo Models for Title and Abstract Screening in Systematic Reviews and Meta-analyses

Viet-Thi Tran, Gerald Gartlehner, Sally Yaacoub et al.

2024 · 48 Zit.

Three artificial intelligence data challenges based on CT and MRI

Nathalie Lassau, Imad Bousaid, Émilie Chouzenoux et al.

2020 · 43 Zit.