Evidence map›Paper›PMID 41939044›Full record

ArticleMedical science educator2026

Integrating AI Literacy into Medical Education: Preparing Future Clinicians for an AI-Driven Healthcare System.

Linda Chang, Radhika Sreedhar

Abstract read
In one paragraph

Article in Medical science educator, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Linda ChangUniversity of Illinois Chicago-Rockford College of Medicine, 1601 Parkview Ave Rockford, Il, Chicago, 61107 USA.
Radhika SreedharUniversity of Illinois Chicago College of Medicine, 840 S. Wood Street Clinical Sciences North, Ste 440, Chicago, IL MC 718, 60612 USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid integration of artificial intelligence (AI) into healthcare necessitates curricular reforms to prepare future providers. Despite AI in medicine training frameworks from NAM and WHO, most medical students receive minimal AI education. Our institution developed a phased, theory-driven AI in Medicine curriculum guided by connectivism and constructivism. Using stakeholder engagement, needs assessment of 529 students, and backward design, we integrated AI literacy into preclinical, clinical clerkships, and an elective course. This spiral curriculum reinforces application through case studies and hands-on activities, fostering clinical relevance. Our implementation offers a scalable model for integrating AI competencies within the health professions curriculum.

Identifiers

PMID41939044
PMCPMC13043780

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.