Evidence map›Paper›PMID 41356626›Full record

ReviewJournal of hand surgery global online2025

Artificial Intelligence in Hand Surgery: The Future is Upon Us.

Bryan S Crook, Eoghan T Hurley, Marc J Richard, Suhail K Mithani, Tyler S Pidgeon

Abstract readReview
In one paragraph

Review in Journal of hand surgery global online, 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.

Bryan S CrookDepartment of Orthopaedic Surgery, Duke University Hospital, Durham, NC.
Eoghan T HurleyDepartment of Orthopaedic Surgery, Duke University Hospital, Durham, NC.
Marc J RichardDepartment of Orthopaedic Surgery, Duke University Hospital, Durham, NC.
Suhail K MithaniDepartment of Orthopaedic Surgery, Duke University Hospital, Durham, NC.
Tyler S PidgeonDepartment of Orthopaedic Surgery, Duke University Hospital, Durham, NC.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In just the past few years, artificial intelligence (AI) has transformed from a potential disruptive force in health care to a technology being rapidly deployed across multiple fronts in orthopedic care. The growth in AI use and development has largely occurred as computing technology has improved in concert with the massive amounts of data generation made possible by electronic medical records. The resulting impact of these technologies, including machine learning algorithms and large language models, has yet to be fully realized, but has already begun improving patient care, offloading administrative burden, and disrupting clinical research. The purpose of this review is to highlight areas in which AI is poised to change the delivery of surgical care with respect to hand surgery.

Indexed as

Artificial intelligenceBurnoutInternetMachine learningPatient education

Identifiers

PMID41356626
PMCPMC12675814

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.