Copenhagen Academy for Medical Education and Simulation

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

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

2025 · 219 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 · 103 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.

Salami-slicing and plagiarism: How should we respond?

Martin G. Tolsgaard, Rachel Ellaway, Nicole N. Woods et al.

2019 · 49 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 · 45 Zit.

Artificial scholarship: LLMs in health professions education research

Rachel Ellaway, Martin G. Tolsgaard

2023 · 34 Zit.

Role of artificial‐intelligence‐assisted automated cardiac biometrics in prenatal screening for coarctation of aorta

Caroline Taksøe‐Vester, Kamil Mikolaj, Olav Bjørn Petersen et al.

2024 · 23 Zit.

Validity evidence supporting clinical skills assessment by artificial intelligence compared with trained clinician raters

Vilma Johnsson, Morten Søndergaard, Kulamakan Kulasegaram et al.

2023 · 18 Zit.

AI supported fetal echocardiography with quality assessment

Caroline A. Taksoee-Vester, Kamil Mikolaj, Zahra Bashir et al.

2024 · 17 Zit.

Acquisition and usage of robotic surgical data for machine learning analysis

Nasseh Hashemi, Morten Bo Søndergaard Svendsen, Flemming Bjerrum et al.

2023 · 16 Zit.

Clinical needs and preferences for AI-based explanations in clinical simulation training

Naja Kathrine Kollerup, Stine S. Johansen, Martin G. Tolsgaard et al.

2024 · 14 Zit.

Does artificial intelligence for classifying ultrasound imaging generalize between different populations and contexts?

Martin G. Tolsgaard, Morten Bo Søndergaard Svendsen, Jonathan Kistrup Thybo et al.

2020 · 11 Zit.

Data sharing and big data in health professions education: Ottawa consensus statement and recommendations for scholarship

Kulamakan Kulasegaram, Lawrence Grierson, Cassandra Barber et al.

2024 · 11 Zit.

Bridging the gap between scientists and clinicians: addressing collaboration challenges in clinical AI integration

Mia Gisselbaek, Joana Berger‐Estilita, Arnout Devos et al.

2025 · 7 Zit.

Human-AI collaboration for ultrasound diagnosis of thyroid nodules: a clinical trial

Axel Bukhave Edström, Fatemeh Makouei, Kasper Wennervaldt et al.

2025 · 7 Zit.