Utrecht University

TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods

Gary S. Collins, Karel G.M. Moons, Paula Dhiman et al.

2024 · 1.636 Zit.

Human resource management in the age of generative artificial intelligence: Perspectives and research directions on ChatGPT

Pawan Budhwar, Soumyadeb Chowdhury, Geoffrey Wood et al.

2023 · 707 Zit.

Machine learning and artificial intelligence research for patient benefit: 20 critical questions on transparency, replicability, ethics, and effectiveness

Sebastian J. Vollmer, Bilal A. Mateen, Gergő Bohner et al.

2020 · 464 Zit.

Guidelines and quality criteria for artificial intelligence-based prediction models in healthcare: a scoping review

Anne de Hond, Artuur Leeuwenberg, Lotty Hooft et al.

2022 · 458 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 · 446 Zit.

Who is afraid of black box algorithms? On the epistemological and ethical basis of trust in medical AI

Juan M. Durán, Karin Jongsma

2021 · 429 Zit.

A Research Agenda for Hybrid Intelligence: Augmenting Human Intellect With Collaborative, Adaptive, Responsible, and Explainable Artificial Intelligence

Zeynep Akata, Dan Balliet, Maarten de Rijke et al.

2020 · 356 Zit.

Metrics reloaded: recommendations for image analysis validation

Lena Maier‐Hein, Annika Reinke, Patrick Godau et al.

2024 · 354 Zit.

Risk of bias in studies on prediction models developed using supervised machine learning techniques: systematic review

Constanza L. Andaur Navarro, Johanna AAG Damen, Toshihiko Takada et al.

2021 · 342 Zit.

Implementation of artificial intelligence (AI) applications in radiology: hindering and facilitating factors

L.G.D. Strohm, Charisma Hehakaya, Erik Ranschaert et al.

2020 · 298 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 · 293 Zit.

The TRIPOD-LLM reporting guideline for studies using large language models

Jack Gallifant, Majid Afshar, Saleem Ameen et al.

2025 · 263 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 · 260 Zit.

Sharing ICU Patient Data Responsibly Under the Society of Critical Care Medicine/European Society of Intensive Care Medicine Joint Data Science Collaboration: The Amsterdam University Medical Centers Database (AmsterdamUMCdb) Example*

Patrick Thoral, Jan M. Peppink, Ronald H. Driessen et al.

2021 · 249 Zit.

Missing data is poorly handled and reported in prediction model studies using machine learning: a literature review

Steven W J Nijman, Artuur Leeuwenberg, Inés Beekers et al.

2021 · 231 Zit.