Sorbonne Paris Cité

Blockchain technology for improving clinical research quality

Mehdi Benchoufi, Philippe Ravaud

2017 · 375 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.

Artificial intelligence in diagnostic and interventional radiology: Where are we now?

Tom Boeken, Jean Feydy, Augustin Lecler et al.

2022 · 132 Zit.

Blockchain protocols in clinical trials: Transparency and traceability of consent

Mehdi Benchoufi, Raphaël Porcher, Philippe Ravaud

2018 · 128 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.

Accuracy, Reliability, and Comprehensibility of ChatGPT-Generated Medical Responses for Patients With Nonalcoholic Fatty Liver Disease

Nicola Pugliese, Vincent Wai‐Sun Wong, Jörn M. Schattenberg et al.

2023 · 81 Zit.

Blockchain protocols in clinical trials: Transparency and traceability of consent

Mehdi Benchoufi, Raphaël Porcher, Philippe Ravaud

2017 · 79 Zit.

Contributions of Artificial Intelligence Reported in Obstetrics and Gynecology Journals: Systematic Review

Ferdinand Dhombres, Jules Bonnard, Kévin Bailly et al.

2022 · 73 Zit.

What’s new in ICU in 2050: big data and machine learning

Sébastien Bailly, Geert Meyfroidt, Jean‐François Timsit

2017 · 62 Zit.

Blockchain protocols in clinical trials: Transparency and traceability of consent

Mehdi Benchoufi, Raphael Porcher, Philippe Ravaud

2017 · 49 Zit.

Detecting generative artificial intelligence in scientific articles: Evasion techniques and implications for scientific integrity

Guillaume-Anthony Odri, Diane Ji Yun Yoon

2023 · 48 Zit.

A systematic review of retracted publications in emergency medicine

Anthony Chauvin, C. de Villelongue, Dominique Pateron et al.

2017 · 46 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 · 43 Zit.

The STARD-AI reporting guideline for diagnostic accuracy studies using artificial intelligence

Viknesh Sounderajah, Ahmad Guni, Xiaoxuan Liu et al.

2025 · 41 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 · 36 Zit.