Back to search

Article

Applicability of artificial intelligence-based computer-aided detection (AI-CAD) for pulmonary tuberculosis to community-based active case finding

2023-08-17

Abstract excerpt

<title>Abstract</title> <p>Background Artificial intelligence-based computer aided-detection (AI-CAD) for tuberculosis (TB) has become commercially available and several studies have been conducted to evaluate the performance of AI-CAD for pulmonary tuberculosis (TB) in clinical settings. However, little is known about its applicability to community-based active case-finding (ACF) for TB. Methods We analysed an...

Topics

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

Identifiers and source

Literature Corpus work
1efb820d-161f-5bda-8e0e-d9327feebd2e
DOI
10.21203/rs.3.rs-3238816/v1
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.
Applicability of artificial intelligence-based computer-aided detection (AI-CAD) for pulmonary tuberculosis to community-based active case findingDOI 10.21203/rs.3.rs-3238816/v1
Artificial Intelligence for Tuberculosis Screening and Detection: From Evidence to Policy and ImplementationSemantic proximity
Assessing Diagnostic Accuracy and Viability of AI-Assisted Tuberculosis Detection in Northern Indian Healthcare Facilities: A Multicenter StudySemantic proximity
TBScreen.AI: Study Protocol for an Inclusive AI-Based Chest X-Ray Screening System for Tuberculosis in Remote Areas of IndonesiaSemantic proximity
The role of Artificial Intelligence as a community screening tool for Pulmonary Tuberculosis in TanzaniaSemantic proximity
Implementing AI-enabled chest X-ray for community-based integrated screening for tuberculosis, chronic respiratory diseases, and cardiovascular diseases in NigeriaSemantic 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
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
Mobile phone-based computer-aided chest X-ray detects TB as well as trained radiologistsSemantic proximity
The Development and Evaluation of AI-based Tuberculosis Screening with a Digital Stethoscope used to Capture Lung Sounds. A Case-Control StudySemantic proximity
External Validation of an Artificial Intelligence Triaging System for Chest X-Rays: A Retrospective Independent Clinical StudySemantic proximity
Automated chest radiograph diagnosis: A Twofer for Tuberculosis and Covid-19Semantic proximity
Application of Artificial Intelligence in Chest X-ray for Assessing Lung Nodule Malignancy Risk in Comparison to Computed TomographySemantic proximity
Select a neighboring publication to make it the new centre.