Amsterdam University Medical Centers

Introducing Artificial Intelligence Training in Medical Education

Ketan Paranjape, Michiel Schinkel, Rishi Panday et al.

2019 · 585 Zit.

The Hong Kong Principles for assessing researchers: Fostering research integrity

David Moher, L.M. Bouter, Sabine Kleinert et al.

2020 · 514 Zit.

Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI

Baptiste Vasey, Myura Nagendran, Bruce Campbell et al.

2022 · 454 Zit.

Artificial Intelligence in Clinical Decision Support: Challenges for Evaluating AI and Practical Implications

Farah Magrabi, Elske Ammenwerth, Jytte Brender McNair et al.

2019 · 328 Zit.

Developing a reporting guideline for artificial intelligence-centred diagnostic test accuracy studies: the STARD-AI protocol

Viknesh Sounderajah, Hutan Ashrafian, Robert Golub et al.

2021 · 297 Zit.

FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare

Karim Lekadir, Alejandro F. Frangi, Antonio R. Porras et al.

2025 · 270 Zit.

Prevalence of questionable research practices, research misconduct and their potential explanatory factors: A survey among academic researchers in The Netherlands

Gowri Gopalakrishna, Gerben ter Riet, Gerko Vink et al.

2022 · 261 Zit.

A quality assessment tool for artificial intelligence-centered diagnostic test accuracy studies: QUADAS-AI

Viknesh Sounderajah, Hutan Ashrafian, Sherri Rose et al.

2021 · 224 Zit.

Artificial intelligence bot ChatGPT in medical research: the potential game changer as a double‐edged sword

Jari Dahmen, Mahmut Enes Kayaalp, Matthieu Ollivier et al.

2023 · 194 Zit.

Algorithm-based care versus usual care for the early recognition and management of complications after pancreatic resection in the Netherlands: an open-label, nationwide, stepped-wedge cluster-randomised trial

F Jasmijn Smits, Anne Claire Henry, Marc G Besselink et al.

2022 · 164 Zit.

AI did not write this manuscript, or did it? Can we trick the AI text detector into generated texts? The potential future of ChatGPT and AI in Sports & Exercise Medicine manuscript generation

Nash Anderson, Daniel L. Belavý, Stephen M. Perle et al.

2023 · 161 Zit.

Automated Assessment of COVID-19 Reporting and Data System and Chest CT Severity Scores in Patients Suspected of Having COVID-19 Using Artificial Intelligence

Nikolas Leßmann, Clara I. Sá‎nchez, Ludo F.M. Beenen et al.

2020 · 145 Zit.

Interpretable machine learning for dementia: A systematic review

Sophie Martin, Florence Townend, Frederik Barkhof et al.

2023 · 123 Zit.

Checklist to assess Trustworthiness in RAndomised Controlled Trials (TRACT checklist): concept proposal and pilot

Ben W. Mol, Shimona Lai, Ayesha Rahim et al.

2023 · 119 Zit.

Deep learning-based classification of kidney transplant pathology: a retrospective, multicentre, proof-of-concept study

Jesper Kers, Roman D. Bülow, Barbara M. Klinkhammer et al.

2021 · 118 Zit.