Evidence map›Paper›PMID 39287526›Full record

ArticleRadiology2024

Transforming Lung Cancer Screening with AI: Comprehensive Evaluation and Personalized Medicine Prospects.

Masahiro Yanagawa, Akinori Hata

Abstract readEditorialComment
PubMed Publisher
In one paragraph

Article in Radiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Masahiro YanagawaFrom the Department of Radiology, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita 565-0871, Japan.ORCID 0000-0002-0911-6769
Akinori HataFrom the Department of Radiology, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita 565-0871, Japan.ORCID 0000-0003-1149-7094

Funding

Patient-specific Outcome Prediction from Cardiovascular Multimodality Imaging by Artificial IntelligenceR35HL161195 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI Piotr J Slomka · 2022 to 2026
$5.0M
NHLBI NIH HHS R35 HL161195
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Artificial IntelligenceEarly Detection of CancerLung NeoplasmsPrecision MedicineHumansTomography, X-Ray Computed

Identifiers

PMID39287526

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.