CoChat
Sign Up
Cited by 166Artificial Intelligence in Healthcare and EducationArtificial Intelligence in EducationInnovations in Medical Education

The DOI matches its OpenAlex record; 15 of the 15 references it cites were found in a registry or an index.

Application of artificial intelligence in medical education: current scenario and future perspectives

Open access
Mir MM·2023·PubMed
DOI 10.30476/jamp.2023.98655.1803PMC PMC10352669
Open this paper in CoChat — free accountOpen PDF

Abstract

Introduction: Medical education is a lifetime learning process stretching from undergraduate to postgraduate, specialty training, and beyond. It also applies to various healthcare professionals, including doctors, nurses, and other allied healthcare professionals. Therefore, it is essential to acknowledge the immense role of artificial intelligence in medical education in the current era of rapidly growing technology. Methods: High-quality data that met the study objectives were included. In addition, comprehensive investigations on articles available in reputable databases such as PubMed, Research Gate, PubMed central, Web of Science, and Google Scholar were considered for literature review. Results: Artificial intelligence has fixed various issues in education during the last decade, including language processing, reasoning, planning, and cognitive modelling. Conclusion: It can be used in medical education in the following forms: Virtual Inquiry System, Medical Distance Learning and Management, and Recording teaching videos in medical schools. It can also enhance the value of the non-analytical humanistic aspects of medicine. The goal of this review article was to present the implications of AI in medical education, now and in the coming years.

Overview

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

OpenAlex · 10.30476/jamp.2023.98655.1803

Cites

15 of 15 references verified0 citation errors · 0 not checkable

Statistics

Verification

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.

A few free checks a day · papers already verified open instantly · results are public

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?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 14 references

Research works printed but not linked: 5

  1. [4]Greiner AC Knebel E Health Professions Education: A Bridge to Quality 2003 Washington (DC) National Academies Press (US) 25057657
  2. [9]Robeznieks A 3 ways medical AI can improve workflow for physicians [Internet]. American Medical Association. 2023 [Cited 2023 Jan 06] Available from: https://www.ama-assn.org/practice-management/digital/3-ways-medical-ai-can-improve-workflow-physicians
  3. [11]Smith MT Project crowdsources specialists' diagnoses for safety-net care [Internet]. American Medical Association. 2023 [Cited 2023 Jan 6] Available from: https://www.ama-assn.org/practice-management/digital/project-crowdsources-specialists-diagnoses-safety-net-care
  4. [12]Kohn LT Corrigan JM Donaldson MS To Err is Human: Building a Safer Health System 2000 Washington (DC) National Academies Press (US) 25077248
  5. [20]Bhutoria A Personalized education and Artificial Intelligence in the United States, China, and India: A systematic review using a Human-In-The-Loop model Computers and Education; Artificial Intelligence 2022 3 100068

Cited by

Sorted by citations

Items 101–166 of 166

Related

See all

Metadata

Authors
Mir, M. M.
Venue
PubMed
Publisher
National Institutes of Health
Published
2023-07-01
Volume
11
Issue
3
Pages
133-140
DOI
10.30476/jamp.2023.98655.1803
PMC
PMC10352669
OpenAlex
W4384819645
Cited by
165
References
14
Citations by year
2026: 27 · 2025: 81 · 2024: 49 · 2023: 8
FWCI
6.57
Type
journal article
Language
en
Open access
Licence
cc-by-nd
Locations
  • PubMed Central (publishedVersion, cc-by-nd)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
University of Bisha
Topics
  • Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
  • Social Sciences › Education › Artificial Intelligence in Education
  • Social Sciences › Education › Innovations in Medical Education
Keywords
artificial intelligence, medical education, distance education, humanistic medicine, language processing, cognitive modeling

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