Rigshospitalet

International consensus statement on the peri‐operative management of anaemia and iron deficiency

Manuel Múñoz, Austin G. Acheson, Michael Auerbach et al.

2016 · 834 Zit.

Dynamic and explainable machine learning prediction of mortality in patients in the intensive care unit: a retrospective study of high-frequency data in electronic patient records

Hans‐Christian Thorsen‐Meyer, Annelaura Bach Nielsen, Anna Pors Nielsen et al.

2020 · 327 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 · 302 Zit.

Can large language models reason about medical questions?

Valentin Liévin, Christoffer Hother, Andreas Geert Motzfeldt et al.

2024 · 245 Zit.

The fundamentals of Artificial Intelligence in medical education research: AMEE Guide No. 156

Martin G. Tolsgaard, Martin Pusic, Stefanie S. Sebok‐Syer et al.

2023 · 114 Zit.

Assessing the utility of deep neural networks in predicting postoperative surgical complications: a retrospective study

Alexander Bonde, Kartik M. Varadarajan, Nicholas Bonde et al.

2021 · 112 Zit.

Mortality prediction models in the adult critically ill: A scoping review

Britt E. Keuning, Thomas Kaufmann, Renske Wiersema et al.

2019 · 77 Zit.

Should research misconduct be criminalized?

Rafael Dal‐Ré, L.M. Bouter, Pim Cuijpers et al.

2020 · 76 Zit.

The role of data science and machine learning in Health Professions Education: practical applications, theoretical contributions, and epistemic beliefs

Martin G. Tolsgaard, Christy Boscardin, Yoon Soo Park et al.

2020 · 55 Zit.

Validity of the large language model ChatGPT (GPT4) as a patient information source in otolaryngology by a variety of doctors in a tertiary otorhinolaryngology department

Jacob P. S. Nielsen, Christian von Buchwald, Christian Grønhøj

2023 · 53 Zit.

Generalisability of fetal ultrasound deep learning models to low-resource imaging settings in five African countries

Carla Sendra-Balcells, Víctor M. Campello, Jordina Torrents‐Barrena et al.

2023 · 49 Zit.

Salami-slicing and plagiarism: How should we respond?

Martin G. Tolsgaard, Rachel Ellaway, Nikki Woods et al.

2019 · 49 Zit.

Clinician Preimplementation Perspectives of a Decision-Support Tool for the Prediction of Cardiac Arrhythmia Based on Machine Learning: Near-Live Feasibility and Qualitative Study

Stina Matthiesen, Søren Zöga Diederichsen, Mikkel Klitzing Hartmann Hansen et al.

2021 · 42 Zit.

Artificial intelligence and multidisciplinary team meetings; a communication challenge for radiologists' sense of agency and position as spider in a web?

Astrid Galsgaard, Tom Doorschodt, Ann‐Louise Holten et al.

2022 · 34 Zit.

Artificial scholarship: LLMs in health professions education research

Rachel Ellaway, Martin G. Tolsgaard

2023 · 34 Zit.