Martin G Tolsgaard

Biographic Data

ID9555751
NAMEMartin G Tolsgaard
GIVEN NAMESMartin G
FAMILY NAMETolsgaard
SIGNATURETOLSGAARD M G
AFFILIATIONSUniversity of Copenhagen
ORCID0000-0001-9197-5564
VERIFIEDYes
TOTAL WORKS15
TOTAL CITATIONS0
WORKS AS AUTHOR15
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2026
H-INDEX0

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

    Open AccessIben Bang Andersen, Morten Bo Søndergaard Svendsen et al.ARTICLEMedical Teacher2026

    BACKGROUND: Assessing skills in simulated settings is resource-intensive and lacks validated metrics. Advances in AI offer the potential for automated competence assessment, addressing these limitations. This study aimed to develop and validate a machine learning AI model for automated evaluation during simulation-based thyroid ultrasound (US) training. METHODS: Videos from eight experts and 21 novices performing thyroid US on a simulator were an…

  • Global research aims for the study of cost and value in health professions education

    Martin G Tolsgaard, Leizl Joy Nayahangan et al.ARTICLEMedical Teacher2025

    BACKGROUND: Health professions educators constantly make difficult choices about the allocation of finite resources. However, there is limited sound research available to guide their decision-making. The purpose of this study was to address this gap by establishing international consensus on research aims, considering diverse economic and cultural contexts. METHODS: The authors conducted a three-round Delphi study, engaging an international panel…

  • A change of mind

    Liv Dyre Rasmussen, Lawrence Grierson et al.ARTICLEMedical Teacher2025

    Background The medical profession has traditionally had a culture of “blame and shame,” despite the importance errors have for learning, motivation, and improvement of clinical skills. This study aimed to explore how medical students and newly graduated doctors perceive errors across different learning contexts and levels of expertise, and how error perceptions influence motivation and engagement in learning activities.Methods Semi-structured int…

  • Why we should stop writing commentaries about AI

    Open AccessVilma Johnsson, Martin G TolsgaardARTICLEMedical Education2024

    Calling for more empirical work, Johnsson and Tolsgaard argue that it's time to stop talking about the role of artificial intelligence in education

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

    Open AccessVilma Johnsson, Morten Bo Søndergaard et al.ARTICLEMedical Education2024

  • Learning strategies for the advanced trainee in specialist training

    Kim Ekelund, Martin G Tolsgaard et al.ARTICLEMedical Teacher2024

    BACKGROUND: A significant factor of clinicians' learning is based on their ability to effectively transfer acquired knowledge, skills, and attitudes from specialty-specific clinical courses to their working environment. MATERIAL AND METHOD: We conducted semi-structured interviews with 20 anaesthesiologist trainees (i.e. residents) in four group and five individual interviews using SRL principles as sensitizing concepts. Data were collected and an…

  • Data sharing and big data in health professions education

    Kulamakan Kulasegaram, Lawrence Grierson et al.ARTICLEMedical Teacher2024

    Changes in digital technology, increasing volume of data collection, and advances in methods have the potential to unleash the value of big data generated through the education of health professionals. Coupled with this potential are legitimate concerns about how data can be used or misused in ways that limit autonomy, equity, or harm stakeholders. This consensus statement is intended to address these issues by foregrounding the ethical imperativ…

  • The fundamentals of Artificial Intelligence in medical education research

    Martin G Tolsgaard, Martin Pusic et al.ARTICLEMedical Teacher2023

    The use of Artificial Intelligence (AI) in medical education has the potential to facilitate complicated tasks and improve efficiency. For example, AI could help automate assessment of written responses, or provide feedback on medical image interpretations with excellent reliability. While applications of AI in learning, instruction, and assessment are growing, further exploration is still required. There exist few conceptual or methodological gu…

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

    Open AccessLaerke Marijke Noerholk, Anne Mette Mørcke et al.ARTICLEMedical Education2022

  • Structural individualism or collaborative mindsets

    Open AccessLaerke Marijke Noerholk, Martin G TolsgaardARTICLEMedical Education2022

    Noerholk and Tolsgaard discuss how peer‐assisted learning (PAL) should move away from treating learning as vertical transmission of knowledge and skills

  • Business as (un)usual

    Open AccessLaerke Marijke Noerholk, Karlen Bader-Larsen et al.ARTICLEMedical Education2022

  • The myth of ivory tower versus practice‐oriented research

    Open AccessMartin G Tolsgaard, Kulamakan Kulasegaram et al.ARTICLEMedical Education2021

  • Is two a crowd? A qualitative analysis of dyad learning in an Obgyn clinical clerkship

    Open AccessLaerke Marijke Noerholk, Anne Mette Mørcke et al.ARTICLEMedical Education2021

  • How to conduct cost and value analyses in health professions education

    Jonathan Foo, Donald A Cook et al.ARTICLEMedical Teacher2021

    Growing demand for accountability, transparency, and efficiency in health professions education is expected to drive increased demand for, and use of, cost and value analyses. In this AMEE Guide, we introduce key concepts, methods, and literature that will enable novices in economics to conduct simple cost and value analyses, hold informed discussions with economic specialists, and undertake further learning on more advanced economic topics. The …

  • How we make choices and sacrifices in medical education during the Covid-19 pandemic

    Martin G Tolsgaard, Jennifer Cleland et al.ARTICLEMedical Teacher2020

    In this commentary, we highlight some of the pressing choices and sacrifices we must make in medical education during the COVID-19 pandemic