Evidence map›Paper›PMID 39600858›Full record

ArticleWorld journal of orthopedics2024

Artificial intelligence awareness and perceptions among pediatric orthopedic surgeons: A cross-sectional observational study.

Ammar K Alomran, Mohammed F Alomar, Ali A Akhdher, Ali R Al Qanber, Ahmad K Albik, Arwa Alumran, Ahmed H Abdulwahab

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Article in World journal of orthopedics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. A tension system for angular correction of bent intramedullary nails: in vitro analysis.European journal of orthopaedic surgery & traumatology : orthopedie traumatologie · 2024
    Article
  5. 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

7 authors.

Ammar K AlomranDepartment of Orthopedic, College of Medicine, Imam Abdulrahman Bin Faisal University, Dammam 31441, Eastern, Saudi Arabia.
Mohammed F AlomarCollege of Medicine, Imam Abdulrahman Bin Faisal University, Dammam 31441, Eastern, Saudi Arabia. aomran@iau.edu.sa.
Ali A AkhdherCollege of Medicine, Imam Abdulrahman Bin Faisal University, Dammam 31441, Eastern, Saudi Arabia.
Ali R Al QanberCollege of Medicine, Imam Abdulrahman Bin Faisal University, Dammam 31441, Eastern, Saudi Arabia.
Ahmad K AlbikCollege of Medicine, Imam Abdulrahman Bin Faisal University, Dammam 31441, Eastern, Saudi Arabia.
Arwa AlumranDepartment of Health Information Management and Technology, Imam Abdulrahman Bin Faisal University, Dammam 34212, Eastern, Saudi Arabia.
Ahmed H AbdulwahabCollege of Medicine, Imam Abdulrahman Bin Faisal University, Dammam 31441, Eastern, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundArtificial intelligence (AI) is a branch of computer science that allows machines to analyze large datasets, learn from patterns, and perform tasks that would otherwise require human intelligence and supervision. It is an emerging tool in pediatric orthopedic surgery, with various promising applications. An evaluation of the current awareness and perceptions among pediatric orthopedic surgeons is necessary to facilitate AI utilization and highlight possible areas of concern.

aimTo assess the awareness and perceptions of AI among pediatric orthopedic surgeons.

methodsThis cross-sectional observational study was conducted using a structured questionnaire designed using QuestionPro online survey software to collect quantitative and qualitative data. One hundred and twenty-eight pediatric orthopedic surgeons affiliated with two groups: Pediatric Orthopedic Chapter of Saudi Orthopedics Association and Middle East Pediatric Orthopedic Society in Gulf Cooperation Council Countries were surveyed.

resultsThe pediatric orthopedic surgeons surveyed had a low level of familiarity with AI, with more than 60% of respondents rating themselves as being slightly familiar or not at all familiar. The most positively rated aspect of AI applications for pediatric orthopedic surgery was their ability to save time and enhance productivity, with 61.97% agreeing or strongly agreeing, and only 4.23% disagreeing or strongly disagreeing. Our participants also placed a high priority on patient privacy and data security, with over 90% rating them as quite important or highly important. Additional bivariate analyses suggested that physicians with a higher awareness of AI also have a more positive perception.

conclusionOur study highlights a lack of familiarity among pediatric orthopedic surgeons towards AI, and suggests a need for enhanced education and regulatory frameworks to ensure the safe adoption of AI.

Indexed as

Artificial intelligenceData securityHealthcare technologyMedical educationOrthopedic surgeryPatient privacyPediatric orthopedicsSurgeon awareness

Identifiers

PMID39600858
PMCPMC11586741

What OpenQuestion holds

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LicenceCC BY-NC
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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.