Philippe Ravaud

Blockchain technology for improving clinical research quality

2017 · 375 Zit. · Trials

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

2019 · 282 Zit. · npj Digital Medicine

Blockchain protocols in clinical trials: Transparency and traceability of consent

2018 · 128 Zit. · F1000Research

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

2020 · 105 Zit. · BMJ Open

Blockchain protocols in clinical trials: Transparency and traceability of consent

2017 · 79 Zit. · F1000Research

Blockchain protocols in clinical trials: Transparency and traceability of consent

2017 · 49 Zit. · F1000Research

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

2024 · 43 Zit. · Annals of Internal Medicine

Blockchain protocols in clinical trials: Transparency and traceability of consent

2017 · 33 Zit. · F1000Research

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

2019 · 30 Zit. · Frontiers in Blockchain

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

2022 · 26 Zit. · Journal of Clinical Epidemiology

A scoping review of robustness concepts for machine learning in healthcare

2025 · 19 Zit. · npj Digital Medicine

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

2019 · 17 Zit. · Journal of Clinical Epidemiology

Data capture by digital pen in clinical trials: A qualitative and quantitative study

2007 · 15 Zit. · Contemporary Clinical Trials

Artificial intelligence in health care: value for whom?

2020 · 14 Zit. · The Lancet Digital Health

Inclusion of Retracted Studies in Systematic Reviews and Meta-Analyses of Interventions

2025 · 13 Zit. · JAMA Internal Medicine