Back to search

Article

The Development and Evaluation of AI-based Tuberculosis Screening with a Digital Stethoscope used to Capture Lung Sounds. A Case-Control Study

2025-07-31

Abstract excerpt

<h4> Abstract </h4> <h4>Background</h4> Tuberculosis (TB) remains a leading global cause of preventable death, with 10.8 million cases and 1.3 million deaths reported in 2023. Current methods for TB screening include symptom-based screening, and chest X-ray (CXR) with computer-aided detection (CAD-CXR). Each method has limitations related to cost, accessibility, and screening efficacy. As a result, an estimated...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
496007ac-d090-519f-a8c1-7024517ddb5a
DOI
10.1101/2025.07.31.25332442
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
The Development and Evaluation of AI-based Tuberculosis Screening with a Digital Stethoscope used to Capture Lung Sounds. A Case-Control StudyDOI 10.1101/2025.07.31.25332442
Assessing Diagnostic Accuracy and Viability of AI-Assisted Tuberculosis Detection in Northern Indian Healthcare Facilities: A Multicenter StudySemantic proximity
Implementing AI-enabled chest X-ray for community-based integrated screening for tuberculosis, chronic respiratory diseases, and cardiovascular diseases in NigeriaSemantic proximity
Artificial Intelligence for Tuberculosis Screening and Detection: From Evidence to Policy and ImplementationSemantic proximity
Diagnosing Community-Acquired Pneumonia: diagnostic accuracy study of a cough-centred algorithm for use in primary and acute-care consultationsSemantic proximity
TBScreen.AI: Study Protocol for an Inclusive AI-Based Chest X-Ray Screening System for Tuberculosis in Remote Areas of IndonesiaSemantic proximity
Applicability of artificial intelligence-based computer-aided detection (AI-CAD) for pulmonary tuberculosis to community-based active case findingSemantic proximity
Active case finding using mobile vans equipped with artificial intelligence aided radiology tests and sputum collection for rapid diagnostic tests to reduce tuberculosis prevalence in rural China: protocol for a pragmatic trialSemantic proximity
A Retrospective Multi-Source Clinical Validation of Lenek Intelligent Radiology Assistant: An Artificial Intelligence-Based Chest Radiograph Screening and Triage System for High-Burden Pulmonary and Cardiac Conditions in IndiaSemantic proximity
Clinical Application of Radiological AI for Pulmonary Nodules Evaluation: Replicability and Susceptibility to the Population Shift Caused by the COVID-19 PandemicSemantic proximity
The role of Artificial Intelligence as a community screening tool for Pulmonary Tuberculosis in TanzaniaSemantic proximity
Truncating the EfficientNet-B0 for Computer Aided Diagnosis of TuberculosisSemantic proximity
LUNG-GPT: Lung sound analysis with LLM-Based modelSemantic proximity
Select a neighboring publication to make it the new centre.