Causal inference using observational intensive care unit data: a scoping review and recommendations for future practice. - J. M. Smit; Jesse H. Krijthe; W. M. R. Kant; J. A. Labrecque; M. Komorowski; D. A. M. P. J. Gommers; Jasper van Bommel; Marcel J. T. Reinders; Michel E. van Genderen (npj Digit. Medicine, 2023)

Key Research Areas for Building and Deploying a Common Data Model for an Intensive Medicine Data Space in Europe and Beyond. - Carlos Luis Parra Calderón; Kirsten Colpaert; Felix Balzer; Marc Cuggia; Denis Delamarre; Christel Daniel; Maxim Moinat; Jan van den Brand; Michel E. van Genderen; Lucas M. Fleuren; Christian Jung 002; Celia Álvarez-Romero (MIE, 2024)

Charting a new course in healthcare: early-stage AI algorithm registration to enhance trust and transparency. - Michel E. van Genderen; Davy van de Sande; Lotty Hooft; Andreas Alois Reis; Alexander D. Cornet; Jacobien H. F. Oosterhoff; Björn J. P. van der Ster; Joost Huiskens; Reggie Townsend; Jasper van Bommel; Diederik Gommers; Jeroen van den Hoven (npj Digit. Medicine, 2024)

To warrant clinical adoption AI models require a multi-faceted implementation evaluation. - Davy van de Sande; Eline Fung Fen Chung; Jacobien H. F. Oosterhoff; Jasper van Bommel; Diederik Gommers; Michel E. van Genderen (npj Digit. Medicine, 2024)

The imperative of diversity and equity for the adoption of responsible AI in healthcare. - Denise E. Hilling; Imane Ihaddouchen; Stefan Buijsman; Reggie Townsend; Diederik Gommers; Michel E. van Genderen (Frontiers Artif. Intell., 2025)

Bridging the gap: a practical step-by-step approach to warrant safe implementation of large language models in healthcare. - Jessica D. Workum; Davy van de Sande; Diederik Gommers; Michel E. van Genderen (Frontiers Artif. Intell., 2025)