Evidence map›Paper›PMID 37293345›Full record

ArticleRadiology. Artificial intelligence2023

Impact of Different Artificial Intelligence User Interfaces on Lung Nodule and Mass Detection on Chest Radiographs.

Jennifer S N Tang, Jeffrey K C Lai, John Bui, Wayland Wang, Paul Simkin, Dayu Gai, Jenny Chan, Diane M Pascoe, Stefan B Heinze, Frank Gaillard and 1 more

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Radiology. Artificial intelligence, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.4field-weighted citation impact, top 7% of its field
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

7 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Artificial intelligence uncertainty quantification in radiotherapy applications - A scoping review.Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology · 2024
    Article
  5. Article
  6. Article
  7. 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

11 authors at 1 institution in 1 country.

Jennifer S N TangFrom the Department of Radiology, Royal Melbourne Hospital, 300 Grattan St, Parkville, VIC 3050, Australia (J.S.N.T., J.K.C.L., J.B., W.W., P.S., D.G., J.C., D.M.P., S.B.H., F.G., E.L.); and Department of Radiology, University of Melbourne, Melbourne, Australia (J.K.C.L., J.B., W.W., P.S., D.M.P., S.B.H., F.G., E.L.).ORCID 0000-0002-0456-3084
Jeffrey K C LaiFrom the Department of Radiology, Royal Melbourne Hospital, 300 Grattan St, Parkville, VIC 3050, Australia (J.S.N.T., J.K.C.L., J.B., W.W., P.S., D.G., J.C., D.M.P., S.B.H., F.G., E.L.); and Department of Radiology, University of Melbourne, Melbourne, Australia (J.K.C.L., J.B., W.W., P.S., D.M.P., S.B.H., F.G., E.L.).
John BuiFrom the Department of Radiology, Royal Melbourne Hospital, 300 Grattan St, Parkville, VIC 3050, Australia (J.S.N.T., J.K.C.L., J.B., W.W., P.S., D.G., J.C., D.M.P., S.B.H., F.G., E.L.); and Department of Radiology, University of Melbourne, Melbourne, Australia (J.K.C.L., J.B., W.W., P.S., D.M.P., S.B.H., F.G., E.L.).
Wayland WangFrom the Department of Radiology, Royal Melbourne Hospital, 300 Grattan St, Parkville, VIC 3050, Australia (J.S.N.T., J.K.C.L., J.B., W.W., P.S., D.G., J.C., D.M.P., S.B.H., F.G., E.L.); and Department of Radiology, University of Melbourne, Melbourne, Australia (J.K.C.L., J.B., W.W., P.S., D.M.P., S.B.H., F.G., E.L.).ORCID 0000-0002-0841-9354
Paul SimkinFrom the Department of Radiology, Royal Melbourne Hospital, 300 Grattan St, Parkville, VIC 3050, Australia (J.S.N.T., J.K.C.L., J.B., W.W., P.S., D.G., J.C., D.M.P., S.B.H., F.G., E.L.); and Department of Radiology, University of Melbourne, Melbourne, Australia (J.K.C.L., J.B., W.W., P.S., D.M.P., S.B.H., F.G., E.L.).ORCID 0000-0003-1556-9809
Dayu GaiFrom the Department of Radiology, Royal Melbourne Hospital, 300 Grattan St, Parkville, VIC 3050, Australia (J.S.N.T., J.K.C.L., J.B., W.W., P.S., D.G., J.C., D.M.P., S.B.H., F.G., E.L.); and Department of Radiology, University of Melbourne, Melbourne, Australia (J.K.C.L., J.B., W.W., P.S., D.M.P., S.B.H., F.G., E.L.).ORCID 0000-0002-5795-9138
Jenny ChanFrom the Department of Radiology, Royal Melbourne Hospital, 300 Grattan St, Parkville, VIC 3050, Australia (J.S.N.T., J.K.C.L., J.B., W.W., P.S., D.G., J.C., D.M.P., S.B.H., F.G., E.L.); and Department of Radiology, University of Melbourne, Melbourne, Australia (J.K.C.L., J.B., W.W., P.S., D.M.P., S.B.H., F.G., E.L.).
Diane M PascoeFrom the Department of Radiology, Royal Melbourne Hospital, 300 Grattan St, Parkville, VIC 3050, Australia (J.S.N.T., J.K.C.L., J.B., W.W., P.S., D.G., J.C., D.M.P., S.B.H., F.G., E.L.); and Department of Radiology, University of Melbourne, Melbourne, Australia (J.K.C.L., J.B., W.W., P.S., D.M.P., S.B.H., F.G., E.L.).
Stefan B HeinzeFrom the Department of Radiology, Royal Melbourne Hospital, 300 Grattan St, Parkville, VIC 3050, Australia (J.S.N.T., J.K.C.L., J.B., W.W., P.S., D.G., J.C., D.M.P., S.B.H., F.G., E.L.); and Department of Radiology, University of Melbourne, Melbourne, Australia (J.K.C.L., J.B., W.W., P.S., D.M.P., S.B.H., F.G., E.L.).ORCID 0000-0001-8018-6316
Frank GaillardFrom the Department of Radiology, Royal Melbourne Hospital, 300 Grattan St, Parkville, VIC 3050, Australia (J.S.N.T., J.K.C.L., J.B., W.W., P.S., D.G., J.C., D.M.P., S.B.H., F.G., E.L.); and Department of Radiology, University of Melbourne, Melbourne, Australia (J.K.C.L., J.B., W.W., P.S., D.M.P., S.B.H., F.G., E.L.).ORCID 0000-0002-2382-872X
Elaine LuiFrom the Department of Radiology, Royal Melbourne Hospital, 300 Grattan St, Parkville, VIC 3050, Australia (J.S.N.T., J.K.C.L., J.B., W.W., P.S., D.G., J.C., D.M.P., S.B.H., F.G., E.L.); and Department of Radiology, University of Melbourne, Melbourne, Australia (J.K.C.L., J.B., W.W., P.S., D.M.P., S.B.H., F.G., E.L.).ORCID 0000-0001-6955-1140
The Royal Melbourne Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To explore the impact of different user interfaces (UIs) for artificial intelligence (AI) outputs on radiologist performance and user preference in detecting lung nodules and masses on chest radiographs. Materials and Methods: A retrospective paired-reader study with a 4-week washout period was used to evaluate three different AI UIs compared with no AI output. Ten radiologists (eight radiology attending physicians and two trainees) evaluated 140 chest radiographs (81 with histologically confirmed nodules and 59 confirmed as normal with CT), with either no AI or one of three UI outputs: Results: The area under the receiver operating characteristic curve improved when radiologists used the text-only output compared with no AI (0.87 vs 0.82; Conclusion: Text-only UI output significantly improved radiologist performance compared with no AI in the detection of lung nodules and masses on chest radiographs, but user preference did not correspond with user performance.

Indexed as

Artificial IntelligenceChest RadiographConventional RadiographyLung NoduleMass Detection

Identifiers

PMID37293345
PMCPMC10245182
OpenAlexW4353064320

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.