Envisioning Graduate Medical Education in 2030
Open accessThe claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
AI could potentially expedite students' proficiency and entrustability achievement, enabling time-variable graduation into the health care workforce.
“These skills are essential for medical trainees before residency and AI could potentially expedite students’ proficiency and entrustability achievement, enabling time-variable graduation into the health care workforce [20-23].”
From Reimagining Core Entrustable Professional Activities for Undergraduate Medical Education in the Era of Artificial Intelligence (2023) · cites this paper as [21]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
The citation lists haven’t been fetched yet
References 17 · Cited by 18
- Authors
- Simpson, D., Sullivan, G. M., Artino, A. R., Deiorio, N. M., & Yarris, L. M.
- Affiliations
- University of Wisconsin–Madison (US)
- Venue
- Journal of Graduate Medical Education
- Published
- 2020-06-01
- Volume
- 12
- Issue
- 3
- Pages
- 235-240
- ISSN
- 1949-8349 (ISSN-L)
- 1949-8357
- PMC
- PMC7301915
- OpenAlex
- W3035776267
- Cited by
- 18
- References
- 17
- Citations by year
- 2025: 2 · 2024: 4 · 2023: 5 · 2022: 4 · 2021: 2 · 2020: 1
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Journal of Graduate Medical Education (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Innovations in Medical Education
- Health Sciences › Health Professions › General Health Professions › Health and Medical Education
- Social Sciences › Gender Studies › Diversity and Career in Medicine
- Keywords
- graduate medical education, future of medical education, physician workforce, residency training, medical education reform
- MeSH terms
- COVID-19, Competency-Based Education, Diffusion of Innovation, Education, Medical, Graduate, Forecasting, Humans, Internship and Residency, Learning, Physicians
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
