Evidence map›Paper›PMID 38074791›Full record

ReviewRadiology. Artificial intelligence2023

Bayesian Networks in Radiology.

Shawn X Ma, Ali H Dhanaliwala, Jeffrey D Rudie, Andreas M Rauschecker, Douglas Roberts-Wolfe, Peter Haddawy, Charles E Kahn

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review 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 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Deep learning-based multimodal integration of imaging and clinical data for predicting surgical approach in percutaneous transforaminal endoscopic discectomy.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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

7 authors.

Shawn X MaFrom the Department of Radiology (S.X.M., A.H.D., D.R.F., C.E.K.) and Institute for Biomedical Informatics (C.E.K.), University of Pennsylvania, 3400 Spruce St, Philadelphia, PA 19104; Department of Radiology, Scripps Clinic, La Jolla, Calif (J.D.R.); Department of Radiology, University of California San Diego, La Jolla, Calif (J.D.R.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (A.M.R.); Faculty of Information and Communication Technology, Mahidol University, Bangkok, Thailand (P.H.); and Bremen Spatial Cognition Center, University of Bremen, Bremen, Germany (P.H.).ORCID 0000-0002-6286-1194
Ali H DhanaliwalaFrom the Department of Radiology (S.X.M., A.H.D., D.R.F., C.E.K.) and Institute for Biomedical Informatics (C.E.K.), University of Pennsylvania, 3400 Spruce St, Philadelphia, PA 19104; Department of Radiology, Scripps Clinic, La Jolla, Calif (J.D.R.); Department of Radiology, University of California San Diego, La Jolla, Calif (J.D.R.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (A.M.R.); Faculty of Information and Communication Technology, Mahidol University, Bangkok, Thailand (P.H.); and Bremen Spatial Cognition Center, University of Bremen, Bremen, Germany (P.H.).ORCID 0000-0002-2152-700X
Jeffrey D RudieFrom the Department of Radiology (S.X.M., A.H.D., D.R.F., C.E.K.) and Institute for Biomedical Informatics (C.E.K.), University of Pennsylvania, 3400 Spruce St, Philadelphia, PA 19104; Department of Radiology, Scripps Clinic, La Jolla, Calif (J.D.R.); Department of Radiology, University of California San Diego, La Jolla, Calif (J.D.R.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (A.M.R.); Faculty of Information and Communication Technology, Mahidol University, Bangkok, Thailand (P.H.); and Bremen Spatial Cognition Center, University of Bremen, Bremen, Germany (P.H.).ORCID 0000-0001-8609-8421
Andreas M RauscheckerFrom the Department of Radiology (S.X.M., A.H.D., D.R.F., C.E.K.) and Institute for Biomedical Informatics (C.E.K.), University of Pennsylvania, 3400 Spruce St, Philadelphia, PA 19104; Department of Radiology, Scripps Clinic, La Jolla, Calif (J.D.R.); Department of Radiology, University of California San Diego, La Jolla, Calif (J.D.R.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (A.M.R.); Faculty of Information and Communication Technology, Mahidol University, Bangkok, Thailand (P.H.); and Bremen Spatial Cognition Center, University of Bremen, Bremen, Germany (P.H.).ORCID 0000-0003-0633-9876
Douglas Roberts-WolfeFrom the Department of Radiology (S.X.M., A.H.D., D.R.F., C.E.K.) and Institute for Biomedical Informatics (C.E.K.), University of Pennsylvania, 3400 Spruce St, Philadelphia, PA 19104; Department of Radiology, Scripps Clinic, La Jolla, Calif (J.D.R.); Department of Radiology, University of California San Diego, La Jolla, Calif (J.D.R.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (A.M.R.); Faculty of Information and Communication Technology, Mahidol University, Bangkok, Thailand (P.H.); and Bremen Spatial Cognition Center, University of Bremen, Bremen, Germany (P.H.).ORCID 0000-0001-5456-490X
Peter HaddawyFrom the Department of Radiology (S.X.M., A.H.D., D.R.F., C.E.K.) and Institute for Biomedical Informatics (C.E.K.), University of Pennsylvania, 3400 Spruce St, Philadelphia, PA 19104; Department of Radiology, Scripps Clinic, La Jolla, Calif (J.D.R.); Department of Radiology, University of California San Diego, La Jolla, Calif (J.D.R.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (A.M.R.); Faculty of Information and Communication Technology, Mahidol University, Bangkok, Thailand (P.H.); and Bremen Spatial Cognition Center, University of Bremen, Bremen, Germany (P.H.).ORCID 0000-0003-2203-006X
Charles E KahnFrom the Department of Radiology (S.X.M., A.H.D., D.R.F., C.E.K.) and Institute for Biomedical Informatics (C.E.K.), University of Pennsylvania, 3400 Spruce St, Philadelphia, PA 19104; Department of Radiology, Scripps Clinic, La Jolla, Calif (J.D.R.); Department of Radiology, University of California San Diego, La Jolla, Calif (J.D.R.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (A.M.R.); Faculty of Information and Communication Technology, Mahidol University, Bangkok, Thailand (P.H.); and Bremen Spatial Cognition Center, University of Bremen, Bremen, Germany (P.H.).ORCID 0000-0002-6654-7434

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A Bayesian network is a graphical model that uses probability theory to represent relationships among its variables. The model is a directed acyclic graph whose nodes represent variables, such as the presence of a disease or an imaging finding. Connections between nodes express causal influences between variables as probability values. Bayesian networks can learn their structure (nodes and connections) and/or conditional probability values from data. Bayesian networks offer several advantages:

Indexed as

Abdominal ImagingBayesian NetworkBreast ImagingMachine LearningMusculoskeletal ImagingNeurologic ImagingRadiology Education

Identifiers

PMID38074791
PMCPMC10698603

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.