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 · 1.798 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 · 727 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 · 468 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 · 465 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 · 462 Zit.

Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis (TRIPOD): The TRIPOD Statement

Gary S. Collins, Johannes B. Reitsma, Douglas G. Altman et al.

2015 · 441 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 · 434 Zit.

Metrics reloaded: recommendations for image analysis validation

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

2024 · 374 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 · 358 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 · 346 Zit.

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

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

2020 · 303 Zit.

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

Jack Gallifant, Majid Afshar, Saleem Ameen et al.

2025 · 301 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 · 301 Zit.

PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods

Karel G.M. Moons, Johanna AAG Damen, T. K. Kaul et al.

2025 · 287 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 · 265 Zit.