Evidence map›Paper›PMID 39318561›Full record

ArticleThe Indian journal of radiology & imaging2024

Radiologic Decision-Making for Imaging in Pulmonary Embolism: Accuracy and Reliability of Large Language Models-Bing, Claude, ChatGPT, and Perplexity.

Pradosh Kumar Sarangi, Suvrankar Datta, M Sarthak Swarup, Swaha Panda, Debasish Swapnesh Kumar Nayak, Archana Malik, Ananda Datta, Himel Mondal

Abstract read
In one paragraph

Article in The Indian journal of radiology & imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  9. Article
  10. Performance of AI Chatbots in Preliminary Diagnosis of Maxillofacial Pathologies.Medical science monitor : international medical journal of experimental and clinical research · 2025
    Article
  11. Article
  12. Article
  13. Revolutionizing Radiology: The Role of Large Language Models.The Indian journal of radiology & imaging · 2025
    Article
  14. Article
  15. Article
  16. 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

8 authors.

Pradosh Kumar SarangiDepartment of Radiodiagnosis, All India Institute of Medical Sciences Deoghar, Deoghar, Jharkhand, India.ORCID 0000-0002-9434-946X
Suvrankar DattaDepartment of Radiodiagnosis, All India Institute of Medical Sciences New Delhi, New Delhi, India.
M Sarthak SwarupDepartment of Radiodiagnosis, Vardhman Mahavir Medical College and Safdarjung Hospital New Delhi, New Delhi, India.
Swaha PandaDepartment of Otorhinolaryngology and Head and Neck Surgery, All India Institute of Medical Sciences Deoghar, Deoghar, Jharkhand, India.ORCID 0009-0000-9657-8672
Debasish Swapnesh Kumar NayakDepartment of Computer Science and Engineering, SOET, Centurion University of Technology and Management, Bhubaneswar, Odisha, India.ORCID 0000-0001-5553-5692
Archana MalikDepartment of Pulmonary Medicine, All India Institute of Medical Sciences Deoghar, Deoghar, Jharkhand, India.
Ananda DattaDepartment of Pulmonary Medicine, All India Institute of Medical Sciences Deoghar, Deoghar, Jharkhand, India.ORCID 0000-0003-4419-9640
Himel MondalDepartment of Physiology, All India Institute of Medical Sciences Deoghar, Deoghar, Jharkhand, India.ORCID 0000-0001-6950-5857

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

American College of Radiology Appropriateness CriteriaBingChatGPTClaudelarge language modelPerplexitypulmonary embolism

Identifiers

PMID39318561
PMCPMC11419749

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.