Artificial intelligence-based model for predicting pulmonary arterial hypertension on chest x-ray images.

Authors:
Imai S; Sakao S; Nagata J; Naito A; Sekine A and 12 more

Journal:
BMC Pulm Med

Publication Year: 2024

DOI:
10.1186/s12890-024-02891-4

PMCID:
PMC10898025

PMID:
38413932

Journal Information

Journal Title: BMC Pulm Med

Detailed journal information not available.

Publication Details

Subject Category: Respiratory System

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

Transparency Score
3/6
50.0% Transparent
Transparency Indicators
Click on green indicators to view evidence text
Core Indicators
Data Sharing
Code Sharing
Evidence found in paper:

"Declarations Ethics approval and consent to participateThis study was performed in accordance with the Declaration of Helsinki. This study was approved by Research Ethics committee of the Graduate School of Medicine, Chiba University (approval number: 4203). All adult participants provided written informed consent to participate. Consent for publicationNot applicable. Competing interestsTN, SH, and KO are employees of M3 Inc. All other authors do not have competing interest. Competing interests TN, SH, and KO are employees of M3 Inc. All other authors do not have competing interest."

Evidence found in paper:

"Funding This work was partly supported by a grant to The Intractable Respiratory Diseases and Pulmonary Hypertension Research Group, the Ministry of Health, Labor and Welfare, Japan. This study was supported by M3 Inc., Tokyo, Japan."

Protocol Registration
Open Access
Paper is freely available to read
Additional Indicators
Replication
Novelty Statement
Assessment Info

Tool: rtransparent

OST Version: N/A

Last Updated: Aug 05, 2025