Evidence map›Paper›PMID 39208360›Full record

ArticleJCO global oncology2024

Comparison of Performance of Large Language Models on Lung-RADS Related Questions.

Eren Çamur, Turay Cesur, Yasin Celal Güneş

Abstract readComparative StudyLetterComment
PubMed Publisher
In one paragraph

Article in JCO global oncology, 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

5 · Who and what money

Authors and funding

3 authors.

Eren ÇamurEren Çamur, MD, Department of Radiology, Ministry of Health Ankara 29 Mayis State Hospital, Ankara, Turkey; Turay Cesur, MD, Department of Radiology, Ankara Mamak State Hospital, Ankara, Turkey; Yasin Celal Güneş, MD, Department of Radiology, TC Saglik Bakanligi Kirikkale Yuksek Ihtisas Hastanesi, Kırıkkale, Turkey.ORCID 0000-0002-8774-5800
Turay CesurEren Çamur, MD, Department of Radiology, Ministry of Health Ankara 29 Mayis State Hospital, Ankara, Turkey; Turay Cesur, MD, Department of Radiology, Ankara Mamak State Hospital, Ankara, Turkey; Yasin Celal Güneş, MD, Department of Radiology, TC Saglik Bakanligi Kirikkale Yuksek Ihtisas Hastanesi, Kırıkkale, Turkey.ORCID 0000-0002-2726-8045
Yasin Celal GüneşEren Çamur, MD, Department of Radiology, Ministry of Health Ankara 29 Mayis State Hospital, Ankara, Turkey; Turay Cesur, MD, Department of Radiology, Ankara Mamak State Hospital, Ankara, Turkey; Yasin Celal Güneş, MD, Department of Radiology, TC Saglik Bakanligi Kirikkale Yuksek Ihtisas Hastanesi, Kırıkkale, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study evaluates LLM integration in interpreting Lung-RADS for lung cancer screening, highlighting their innovative role in enhancing radiological practice. Our findings reveal that Claude 3 Opus and Perplexity achieved a 96% accuracy rate, outperforming other models.

Indexed as

Lung NeoplasmsEarly Detection of CancerHumans

Identifiers

PMID39208360

What OpenQuestion holds

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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.