Evidence map›Paper›PMID 39051306›Full record

ReviewClinics and practice2024

Integrating Artificial Intelligence into Biomedical Science Curricula: Advancing Healthcare Education.

Aarti Sharma, Amal Al-Haidose, Maha Al-Asmakh, Atiyeh M Abdallah

Abstract readReview
In one paragraph

Review in Clinics and practice, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. Development of a Pilot Artificial Intelligence Education Curriculum for Hospital Staff.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2026
    Article
  7. Using AI in healthcare education: a rapid review and commentary.Frontiers in rehabilitation sciences · 2026
    Article
  8. Article
  9. Article
  10. A review of recent artificial intelligence for traditional medicine.Journal of traditional and complementary medicine · 2025
    Review
  11. Article
  12. Article
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

4 authors.

Aarti SharmaCollege of Health Sciences, QU Health Sector, Qatar University, Doha 2713, Qatar.
Amal Al-HaidoseDepartment of Biomedical Sciences, College of Health Sciences, QU Health Sector, Qatar University, Doha 2713, Qatar.ORCID 0009-0000-8705-0198
Maha Al-AsmakhDepartment of Biomedical Sciences, College of Health Sciences, QU Health Sector, Qatar University, Doha 2713, Qatar.
Atiyeh M AbdallahDepartment of Biomedical Sciences, College of Health Sciences, QU Health Sector, Qatar University, Doha 2713, Qatar.ORCID 0000-0003-4812-956X

Funding

qatar university QUCP-CHS-2022-551 and QUST-1-CHS-2024-1692.
6 · The paper itself

Abstract

The integration of artificial intelligence (AI) into healthcare practice has improved patient management and care. Many clinical laboratory specialties have already integrated AI in diagnostic specialties such as radiology and pathology, where it can assist in image analysis, diagnosis, and clinical reporting. As AI technologies continue to advance, it is crucial for biomedical science students to receive comprehensive education and training in AI concepts and applications and to understand the ethical consequences for such development. This review focus on the importance of integrating AI into biomedical science curricula and proposes strategies to enhance curricula for different specialties to prepare future healthcare workers. Improving the curriculum can be achieved by introducing specific subjects related to AI such as informatics, data sciences, and digital health. However, there are many challenges to enhancing the curriculum with AI. In this narrative review, we discuss these challenges and suggest mitigation strategies.

Indexed as

biomedical sciencescurricula developmenthealthcarehigher education

Identifiers

PMID39051306
PMCPMC11270210

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.