Martin G. Tolsgaard

Professor of medical education

Rigshospitalet

Denmark

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About

Martin G. Tolsgaard is a Professor of Medical Education at Rigshospitalet, Denmark. His research focuses on the integration of artificial intelligence in medical skills assessment, the impact of clinical practices on health outcomes, and the evaluation of educational strategies in health professions. Recent articles include studies on artificial intelligence-assisted assessments and nationwide research on skin biopsy practices.

Articles (19)

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2025

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2022

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2022

Collaborators (17)

Tobias Todsen

Københavns Universitet

DENMARK

Martin G. Tolsgaard

Research Interests

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Articles (19)

Enabling micro-assessments of skills in the simulated setting using temporal artificial intelligence-models

Impact of skin biopsy practices: A comprehensive nationwide study on skin cancer and melanoma biopsies

Global research aims for the study of cost and value in health professions education: A Delphi study of international experts

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

Why we should stop writing commentaries about AI

Learning strategies for the advanced trainee in specialist training

How to Use and Report on p-values

Validating the virtual: a deep dive into ultrasound simulator metrics in otorhinolaryngology

Surgical gestures can be used to assess surgical competence in robot-assisted surgery

Improving Skin Cancer Diagnostics Through a Mobile App With a Large Interactive Image Repository: Randomized Controlled Trial

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

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

“Important but risky”: attitudes of global thought leaders towards cost and value research in health professions education

Business as (un)usual: A qualitative study of clerkship experiences during a health crisis

The concept of errors in medical education: a scoping review

Does group size matter during collaborative skills learning? A randomised study

Structural individualism or collaborative mindsets: Next steps for peer learning

The knowledge and skills needed to perform intestinal ultrasound for inflammatory bowel diseases-an international Delphi consensus survey.

Using machine learning to identify quality-of-care predictors for emergency caesarean sections: a retrospective cohort study.

Collaborators (17)

Tobias Todsen

Annette Hougaard Chakera

Stefanie S. Sebok-Syer

Kamil Mikolaj

Mikkel Lønborg Friis

Sune Lehmann

Doris Østergaard

Leizl Joy Nayahangan

Ellen Løkkegaard

Giovanni Maconi

Anders Nymark Christensen

Jesper Løve Hinrich

Lisbet Rosenkrantz Hölmich

Christian Danstrup

Stephen Maloney

Morten Bo Søndergaard Svendsen

O. B. Petersen

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