Evidence map›Paper›PMID 38906673›Full record

Trial reportAJNR. American journal of neuroradiology2024

Artificial Intelligence Efficacy as a Function of Trainee Interpreter Proficiency: Lessons from a Randomized Controlled Trial.

David A Fussell, Cynthia C Tang, Jake Sternhagen, Varun V Marrey, Kelsey M Roman, Jeremy Johnson, Michael J Head, Hayden R Troutt, Charles H Li, Peter D Chang and 2 more

Abstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in AJNR. American journal of neuroradiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

12 authors.

David A FussellFrom the Department of Radiological Sciences (D.A.F., C.C.T., J.S., V.V.M., J.J., H.R.T., C.H.L., P.D.C., D.S.C.), University of California, Irvine, Irvine, California fusselld@hs.uci.edu.ORCID 0009-0003-0833-9148
Cynthia C TangFrom the Department of Radiological Sciences (D.A.F., C.C.T., J.S., V.V.M., J.J., H.R.T., C.H.L., P.D.C., D.S.C.), University of California, Irvine, Irvine, California.
Jake SternhagenFrom the Department of Radiological Sciences (D.A.F., C.C.T., J.S., V.V.M., J.J., H.R.T., C.H.L., P.D.C., D.S.C.), University of California, Irvine, Irvine, California.ORCID 0009-0004-3006-6550
Varun V MarreyFrom the Department of Radiological Sciences (D.A.F., C.C.T., J.S., V.V.M., J.J., H.R.T., C.H.L., P.D.C., D.S.C.), University of California, Irvine, Irvine, California.
Kelsey M RomanSchool of Medicine (K.M.R., M.J.H.), University of California, Irvine, Irvine, California.
Jeremy JohnsonFrom the Department of Radiological Sciences (D.A.F., C.C.T., J.S., V.V.M., J.J., H.R.T., C.H.L., P.D.C., D.S.C.), University of California, Irvine, Irvine, California.ORCID 0000-0002-1789-558X
Michael J HeadSchool of Medicine (K.M.R., M.J.H.), University of California, Irvine, Irvine, California.
Hayden R TrouttFrom the Department of Radiological Sciences (D.A.F., C.C.T., J.S., V.V.M., J.J., H.R.T., C.H.L., P.D.C., D.S.C.), University of California, Irvine, Irvine, California.
Charles H LiFrom the Department of Radiological Sciences (D.A.F., C.C.T., J.S., V.V.M., J.J., H.R.T., C.H.L., P.D.C., D.S.C.), University of California, Irvine, Irvine, California.
Peter D ChangFrom the Department of Radiological Sciences (D.A.F., C.C.T., J.S., V.V.M., J.J., H.R.T., C.H.L., P.D.C., D.S.C.), University of California, Irvine, Irvine, California.ORCID 0000-0001-7645-7865
John JosephPaul Merage School of Business (J.J.), University of California, Irvine, Irvine, California.
Daniel S ChowFrom the Department of Radiological Sciences (D.A.F., C.C.T., J.S., V.V.M., J.J., H.R.T., C.H.L., P.D.C., D.S.C.), University of California, Irvine, Irvine, California.ORCID 0000-0002-2359-7394

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeRecently, artificial intelligence tools have been deployed with increasing speed in educational and clinical settings. However, the use of artificial intelligence by trainees across different levels of experience has not been well-studied. This study investigates the impact of artificial intelligence assistance on the diagnostic accuracy for intracranial hemorrhage and large-vessel occlusion by medical students and resident trainees. MATERIALS AND

methodsThis prospective study was conducted between March 2023 and October 2023. Medical students and resident trainees were asked to identify intracranial hemorrhage and large-vessel occlusion in 100 noncontrast head CTs and 100 head CTAs, respectively. One group received diagnostic aid simulating artificial intelligence for intracranial hemorrhage only (

resultsForty-eight participants completed the study, generating 10,779 intracranial hemorrhage or large-vessel occlusion interpretations. With diagnostic aid, medical student accuracy improved 11.0 points (

conclusionsThis study demonstrated greater improvement in diagnostic accuracy with artificial intelligence for medical students compared with resident trainees. However, medical students were less likely than resident trainees to overrule incorrect artificial intelligence interpretations and were less accurate, even with diagnostic aid, than the artificial intelligence was by itself.

Indexed as

Artificial IntelligenceClinical CompetenceInternship and ResidencyIntracranial HemorrhagesStudents, MedicalAdultAgedFemaleHumansMaleMiddle AgedProspective StudiesSensitivity and SpecificityTomography, X-Ray ComputedYoung Adult

Identifiers

PMID38906673
PMCPMC11543080

What OpenQuestion holds

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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.