Evidence map›Paper›PMID 40799998›Full record

ArticleJournal of clinical orthopaedics and trauma2025

Innovative models for Orthopaedic collaboration: Training and education.

Damanjit Kaur, Ahmed Bakr, Hasaam Uldin, Faizul Hassan, R Botchu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of clinical orthopaedics and trauma, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Damanjit KaurDepartment of Musculoskeletal Radiology, Royal Orthopedic Hospital, Birmingham, UK.
Ahmed BakrMedical School, University of Liverpool, Liverpool, UK.
Hasaam UldinDepartment of Musculoskeletal Radiology, Royal Orthopedic Hospital, Birmingham, UK.
Faizul HassanDepartment of Spinal Surgery, Royal Orthopedic Hospital, Birmingham, UK.
R BotchuDepartment of Musculoskeletal Radiology, Royal Orthopedic Hospital, Birmingham, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As Orthopaedic surgery is reaching new heights with the introduction of minimally-invasive and robotic surgeries, updates in teaching and training methods for budding surgeons must commensurately develop. Novel digital technologies like Artificial Intelligence (AI), Virtual Reality (VR), and 3D printing along with international and interdisciplinary partnerships play a vital role in improving education quality. This article aims to highlight collaboration frameworks and their use in modern Orthopaedic training programs. Through literature review of emerging trends, case studies and scientific progress, this study emphasises the contribution of collaborations and technologies in improving surgical outcomes and providing high-standard training for Orthopaedic surgeons. Barriers such as higher costs and limited resources are also discussed in the context of how advancements can revolutionize orthopaedic training and teaching.

Indexed as

Artificial intelligence and 3D printingCollaborative researchInnovation hubsInnovative modelsMachine learningMentorship modelsMultidisciplinary collaborationsOrthopaedic collaborationOrthopaedic trainingPerformance assessment methodsSimulation-based trainingTelemedicineVirtual reality

Identifiers

PMID40799998
PMCPMC12336679

What OpenQuestion holds

Textmetadata
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.