Hôtel-Dieu de Paris

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 · 282 Zit.

Assessment of an AI Aid in Detection of Adult Appendicular Skeletal Fractures by Emergency Physicians and Radiologists: A Multicenter Cross-sectional Diagnostic Study

Loïc Duron, Alexis Ducarouge, André Gillibert et al.

2021 · 138 Zit.

Blockchain protocols in clinical trials: Transparency and traceability of consent

Mehdi Benchoufi, Raphaël Porcher, Philippe Ravaud

2018 · 128 Zit.

Blockchain protocols in clinical trials: Transparency and traceability of consent

Mehdi Benchoufi, Raphaël Porcher, Philippe Ravaud

2017 · 79 Zit.

The proof of the pudding: in praise of a culture of real-world validation for medical artificial intelligence

Federico Cabitza, Jean‐David Zeitoun

2019 · 69 Zit.

Artificial intelligence vs. radiologist: accuracy of wrist fracture detection on radiographs

Mathieu Cohen, Julien Puntonet, J Fernández Sánchez et al.

2022 · 64 Zit.

Blockchain protocols in clinical trials: Transparency and traceability of consent

Mehdi Benchoufi, Raphael Porcher, Philippe Ravaud

2017 · 49 Zit.

Five simultaneous artificial intelligence data challenges on ultrasound, CT, and MRI

Nathalie Lassau, Théo Estienne, P. de Vomecourt et al.

2019 · 43 Zit.

Putting undergraduate medical students in AI-CDSS designers’ shoes: An innovative teaching method to develop digital health critical thinking

Rosy Tsopra, Nathan Peiffer‐Smadja, Caroline Charlier et al.

2022 · 37 Zit.

Blockchain protocols in clinical trials: Transparency and traceability of consent

Mehdi Benchoufi, Raphaël Porcher, Philippe Ravaud

2017 · 33 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.

A systematic scoping review of just-in-time, adaptive interventions finds limited automation and incomplete reporting

Theodora Oikonomidi, Philippe Ravaud, Jonathan LeBeau et al.

2022 · 26 Zit.

A scoping review of robustness concepts for machine learning in healthcare

Alan Balendran, Céline Béji, Florie Bouvier et al.

2025 · 19 Zit.

A scoping review provided a framework for new ways of doing research through mobilizing collective intelligence

Van Thu Nguyen, Mehdi Benchoufi, Bridget Young et al.

2019 · 17 Zit.